get_segment_effort_streams

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

With no annotations, the description must carry the burden of behavioral disclosure. It only states the action and arguments, omitting details like read-only nature, rate limits, or default behavior. The agent is not informed about what happens if keys are omitted (though schema shows a default). This is insufficient for transparent understanding.

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 exceptionally concise: two sentences plus an argument list. Every word serves a purpose, no fluff or redundancy. It is front-loaded with the primary action and immediately followed by parameter explanations.

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 simple data retrieval tool with two parameters and no output schema, the description is adequate but minimal. It lacks details about the response format or any constraints. Given the absence of annotations and output schema, a bit more context (e.g., typical stream data structure) would improve completeness.

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?

Schema description coverage is 0%, so the description must add meaning. It briefly explains effort_id ('the segment effort ID') and keys ('comma-separated stream types (same as activity streams)'), which adds value beyond the schema. However, it does not enumerate valid stream types or explain the default behavior in more detail, so it is minimally helpful.

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 'Get time-series stream data for a specific segment effort,' specifying the verb (get) and resource (time-series stream data for segment effort). It distinguishes from sibling tools like get_activity_streams and get_segment_streams by targeting segment efforts specifically.

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 provides no guidance on when to use this tool versus alternatives such as get_activity_streams or get_segment_streams. It lacks explicit when/when-not usage instructions, leaving the agent to infer applicability from the tool name alone.

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