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get_summary

Retrieve the project's summary.md for distilled, authoritative context. Call this before answering project questions to avoid re-scanning source files.

Instructions

Read the project memory summary.

MANDATORY: call this BEFORE answering ANY question about the project.

Do NOT answer from conversation history alone.
Do NOT re-scan source files (package.json, README, src/) to understand
the project — `summary.md` is the distilled authoritative source and
costs ~500 tokens versus ~5,000 to re-derive.

Your prior assumptions about this project may be stale. Call this
cheaply at session start (and again before ending) to verify your
work is recorded.

Read-only; does not modify memory or trigger event logging.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description fully discloses read-only nature, no memory modification, no event logging, token efficiency (500 vs 5000 tokens), and potential staleness of prior assumptions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is well-structured with clear sections, but slightly verbose. However, every sentence serves a purpose, and the format aids readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter tool with an output schema, the description provides complete guidance on purpose, usage, and behavior. No gaps remain for an agent to select and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist (0 parameters, 100% coverage). Description adds meaning by mentioning the summary is a distilled authoritative source, which is useful context beyond the empty schema. Baseline 4 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states 'Read the project memory summary' with a specific verb and resource. Distinguishes from sibling tools like get_context or get_instructions by describing it as the authoritative source.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly mandates calling it before answering any question, advises against using conversation history or scanning files, and recommends calling at session start and before ending. Provides clear when, when-not, and alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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