Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsBlogPro
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges
  • Chrome Extension
  • Skill Manager

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Design Agent Tools And Context

ASecurity

Design the tools/functions an agent calls and the context/memory strategy that keeps it coherent — unambiguous tool names, typed parameters, examples-in-description, errors that teach recovery, a small-enough tool count, plus a context plan (what stays in-window, what gets summarized, what moves to external memory) and short-term-vs-long-term memory design under a per-turn token budget. Reach for this when the user says 'the agent keeps calling tools wrong', 'the context overflows', or 'the a...

7 stars
0 votes
0 copies
0 views
Added 9/23/2026
ai-agentsgorailsapi

Works with

api

Security Analysis

A100/100

Scanned 9/23/2026

$npx -y skills add mcorbett51090/RavenClaude --skill design-agent-tools-and-context --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Design Agent Tools And Context?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Design Agent Tools And Context
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/mcorbett51090-design-agent-tools-and-context/badge)](https://www.skillsdirectory.com/skills/mcorbett51090-design-agent-tools-and-context)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
Files
SKILL.md
---
name: design-agent-tools-and-context
description: "Design the tools/functions an agent calls and the context/memory strategy that keeps it coherent — unambiguous tool names, typed parameters, examples-in-description, errors that teach recovery, a small-enough tool count, plus a context plan (what stays in-window, what gets summarized, what moves to external memory) and short-term-vs-long-term memory design under a per-turn token budget. Reach for this when the user says 'the agent keeps calling tools wrong', 'the context overflows', or 'the agent loses track on long runs'. Used by `agent-implementation-engineer` (primary)."
---

# Skill: design-agent-tools-and-context

> **Invoked by:** `agent-implementation-engineer` (primary). Also consulted by `agentic-systems-architect` when a design needs the tool surface and memory model sketched before the topology is finalized.
>
> **When to invoke:** "the agent calls the wrong tool / passes bad arguments"; "the context window overflows on long runs"; "the agent drifts / loses the thread"; "what should the agent remember between turns / between runs?"; "how many tools is too many?".
>
> **Output:** tool/function schemas (names, typed params, descriptions with examples, recovery-teaching errors), a context strategy (in-window vs summarized vs external), and a memory design (short-term vs long-term) under a stated per-turn token budget.

## Procedure

1. **Inventory the tools the agent actually needs.** List every action the agent must take on the world. Collapse near-duplicates. **Fewer tools is better** — a large tool set is the most common cause of wrong tool selection. If two tools are chosen wrongly for each other, merge or disambiguate them.
2. **Design each tool like an API for a capable-but-literal caller.**
   - **Name:** unambiguous and action-shaped (`get_order_by_id`, not `order`).
   - **Parameters:** typed, with required-vs-optional explicit; prefer enums over free text where the domain is closed.
   - **Description:** say what it does, when to use it (and when NOT to), and include **one concrete example call**.
   - **Errors teach recovery:** return actionable messages (`"start_date must be YYYY-MM-DD, got '3rd'"`), not `"invalid input"` — the model reads the error and retries.
   - **Blast radius:** mark read-only vs write; writes get a confirmation gate downstream.
3. **Plan the context window as a budget.** For each turn, decide what belongs **in-window** (the current task, recent tool results, the running plan), what gets **summarized/compacted** (older turns, long tool outputs), and what moves to **external memory/retrieval** (documents, prior runs, large state). Set a **per-turn token budget** and design to stay under it.
4. **Design memory in two tiers.** **Short-term** = a scratchpad/working state for the current task (plan, intermediate results), cleared when the task ends. **Long-term** = a store queried across runs (user facts, prior outcomes, learned preferences) — decide what gets written, when it's read, and how staleness is handled. Not every agent needs long-term memory; add it only when cross-run recall is required.
5. **Close the loop between tools and context.** Large tool outputs are a context-overflow source — return **summaries or IDs**, not raw blobs, and let the agent fetch detail on demand. Keep tool results structured so they compact cleanly.

## Output format

- **Tool schemas:** one per tool — name, typed params, description-with-example, error-recovery notes, read/write flag.
- **Context strategy:** in-window / summarized / external, with the per-turn token budget.
- **Memory design:** short-term scratchpad shape + (if needed) long-term store's write/read/staleness rules.
- **Volatile facts** (tool-call formats, context-window sizes, model IDs): dated + `[verify-at-use]`.

## Guardrails

- **Too many tools is a bug** — if the model can't reliably choose, the tool set is the problem, not the model.
- **An error that doesn't teach recovery wastes a loop iteration** — every error message is a chance to self-correct.
- **Never let a raw tool blob into the window** when a summary + fetch-on-demand would do.

Attribution

mcorbett51090mcorbett51090
View sourceSee grades on GitHubMore from mcorbett51090 →
SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Related Skills

Caveman

Terse caveman voice: answer first, fluff gone, every technical fact kept. Use for /caveman, "caveman mode", "talk like caveman", "be brief", "less tokens". Stays on until "stop caveman" or "normal mode".

1100021 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

698461 votes

Writing Skills

Create and manage Claude Code skills in HASH repository following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns), UserPromptSubmit hook, and the 500-line rule. Includes validation and debugging with SKILL_DEBUG. Examples include rust-error-stack, cargo-dep...

3931 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3421 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Amp, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Grok Build, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

741 votes
View all in ai-agents →