get_telemetry_summary

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

Without annotations, the description provides a valuable behavioral disclosure: 'Data never leaves the machine,' indicating privacy. However, it does not detail other aspects like the scope of the summary or potential side effects.

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 consists of two brief sentences with no redundancy. Every word is informative and contributes to understanding.

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?

The description is minimal. While it covers the core purpose and a key behavioral trait, it lacks details about what the telemetry summary contains (e.g., metrics, events, errors). This gap could leave the agent uncertain about the tool's output.

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?

There are zero parameters, so the description does not need to add parameter information. The baseline of 4 is appropriate as no additional semantics are required.

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 retrieves a local telemetry summary. The tool name and description together make the purpose unambiguous, and it is distinct from sibling tools like analyze_repository or recommend_model.

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?

No explicit guidance on when to use this tool over alternatives is provided. The description implies it is for obtaining telemetry data, but does not specify context such as prerequisite conditions or contraindications.

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