Read the coach's niche

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

Goes beyond the annotations by disclosing the required OAuth scopes (coach:read, luca:read), the data sensitivity level (redacted), and the underlying endpoint. The 'does not require idempotency' line is slightly noisy against idempotentHint=true (it appears to mean no idempotency key is needed), but it is not a real contradiction.

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?

Purpose is front-loaded in the first sentence, with operational metadata (endpoint, scopes, sensitivity, idempotency) following in short labeled lines. The boilerplate metadata lines are slightly formulaic but each carries actionable information for a constrained read.

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?

An output schema exists, so return-value explanation is not required, and the description covers auth scope, sensitivity, and workspace targeting. The only missing piece is how this niche read relates to sibling endpoints like luca_coach_niche_profile, which would help an agent avoid picking the wrong one.

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 100%, so baseline would be 3; the description adds real meaning by explaining that workspaceId/workspaceSlug override the default workspace configured by the environment, which the schema alone does not say. It stops short of explaining precedence between the two override parameters.

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?

Names a specific verb+resource ('Read the coach's canonical niche') and adds a clarifying gloss — the cohort key used for benchmark comparison — which tells an agent what the value actually means. It does not explicitly distinguish itself from the nearby luca_coach_niche_profile sibling, so it falls short of a 5.

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?

Usage is only implied: an agent can infer this is the read to perform when benchmark cohort context is needed. There is no explicit when-to-use/when-not statement and no routing to luca_coach_niche_profile or luca_analytics_benchmarks, which are plausible alternatives for related data.

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