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jgravelle
by jgravelle

jdatamunch_guide

Read-only

Retrieve the current policy snippet for jdatamunch-mcp to keep agent instructions synchronized with the installed version, preventing outdated guidance.

Instructions

Return the version-current CLAUDE.md / AGENT.md policy snippet for jdatamunch-mcp. Lets an agent keep a one-line CLAUDE.md (e.g. "Call jdatamunch_guide and strictly follow its instructions.") instead of pasting a static snippet that drifts from the installed version. Idempotent, no dataset context required. Sibling of jcodemunch_guide and jdocmunch_guide.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds 'Idempotent' and 'no dataset context required'—behavioral traits that inform call timing and safety. This is useful additional context beyond the annotation, though it could go further by describing the return format or size.

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

Conciseness5/5

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

The description is concise and front-loaded with the primary action. Every sentence earns its place: the first states what it does, the second explains the benefit, and the third adds idempotency and sibling context. No wasted words.

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 no output schema, the description is remarkably complete. It explains the returned artifact, the motivation for using it, key behavioral traits, and sibling relationships. There are no significant gaps for an agent to invoke it 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?

The tool has zero parameters, so parameter semantics are trivially complete. The description adds context about the tool's purpose and usage, which is appropriate given there is no schema to explain. It fully compensates for the absence of parameters.

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?

The description clearly identifies the tool's function: returning the version-current CLAUDE.md/AGENT.md policy snippet for jdatamunch-mcp. It uses a specific verb 'Return' and a specific resource, and it distinguishes itself from siblings jcodemunch_guide and jdocmunch_guide by name.

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

Usage Guidelines4/5

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

The description provides a concrete use case: letting an agent keep a one-line CLAUDE.md reference rather than a static snippet that drifts. It does not explicitly state when not to use it or alternative tools, but the sibling mention helps orient the agent. This is clear contextual guidance, though not exhaustive.

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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