get_rulebook

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It provides two important behavioral details: the return format ('raw markdown') and the source ('dpyc-community repo'). This goes beyond a generic 'fetch' and informs the agent about output type and repository origin, though it does not mention error handling or authentication.

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

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

The description is extremely concise, consisting of two short sentences. The main function is front-loaded in the first sentence, and the second sentence adds necessary return-format detail. No filler or redundant information is present.

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

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

For a zero-parameter tool that simply fetches a static document, the description is quite complete: it names the document, the repository, and the return format. The presence of an output schema further reduces the need for describing return structure. However, it does not mention potential error cases or versioning, which could be useful but are not critical for such a simple operation.

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

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

The tool has zero parameters, so the baseline is 4. The description adds meaning by specifying what is being fetched (the governance document) and the exact file, which is useful context even though there are no parameters to describe.

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

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

The description clearly states the tool's function with a specific verb ('Fetch') and a specific resource ('the DPYC Social Contract governance document'). It also uniquely identifies the exact file (GOVERNANCE.md) and repository, distinguishing it from all sibling tools which handle operations, registrations, or other data.

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

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

The description implies usage by naming the exact document to fetch, but it does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions or alternative tools. Since no sibling tool appears to fetch governance docs, the usage context is somewhat self-evident, but explicit guidance is missing.

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