extract_observations

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

All annotations are false/neutral, so the description must carry the burden of disclosing side effects, idempotency, or whether extraction consumes or deletes observations. It does not; 'bounded' hints at limits but not at behavioral consequences. No contradiction exists, but the behavioral profile is largely unspecified.

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 a single sentence with no filler, the action is front-loaded, and every word contributes to the intended meaning. It is easy to parse quickly, though structural efficiency cannot makeup for missing usage and behavior guidance.

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?

With only one required parameter and an output schema present, the mechanical surface is small, but the description omits usage context, side effects, and sibling differentiation. In a tool list crowded with extract_* alternatives, this is not enough for an agent to confidently select and invoke it.

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%, and the description does not explain how run_id scopes or selects the observations. The parameter's role is left to be inferred from its name and the tool's purpose, which adds little beyond the input schema.

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 names a specific verb ('Extract') and a resource ('bounded semantic observations') with a source ('flameox.sdk'), so an agent can tell this is about SDK-emitted observations raher than generic run data. It distinguishes from the many extract_* siblings by source, though 'bounded semantic observations' remains jargon that is not defined.

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 guidance is given on when to use this tool versus siblings such as extract_pytest, extract_memray, or extract_perfetto. There are no exclusion criteria or alternative names, so the agent must infer when flameox.sdk observations are relevant.

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