about

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

With no annotations, the description carries the full burden. It does disclose that the tool fetches external files from a repository and assembles a response, which is useful behavioral context. However, it omits details like whether it makes network calls, whether it caches results, or any error conditions. For a simple read-only tool, this is adequate but not rich.

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 two sentences with zero wasted words. It front-loads the purpose ('Extended narration') and then provides concrete details about the fetched files and output. This is a model of conciseness.

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?

Given the tool's simplicity (no parameters, no annotations) and presence of an output schema, the description provides sufficient context: it explains what the tool does, its data sources, and its output type. It could slightly improve by mentioning whether it returns raw file contents or a synthesized answer, but the phrase 'assembles a comprehensive context answer' largely covers that.

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 description does not need to elaborate on parameter semantics. The schema is empty and fully covered, and a zero-parameter tool gets a baseline of 4. The description adds no confusion and correctly leaves out parameter details.

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 uses a specific verb ('Fetches') and resource ('README.md and GOVERNANCE.md from the dpyc-community repo') to clearly state what the tool does. It also names the content domain ('DPYC, the Social Contract, and the Oracle'), which distinguishes it from sibling tools like get_rulebook or how_to_join that focus on specific topics.

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 for general questions about DPYC and its governance by mentioning it assembles a 'comprehensive context answer,' but it does not explicitly state when to use this tool versus alternatives. No exclusions or references to sibling tools are provided, so the guidance is only implied.

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