get_identity_signal_coverage

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

No annotations are provided, so the description carries full burden. It states the tool returns a coverage map with priorities, implying it is read-only and computes gaps. However, it does not disclose permissions needed, data freshness, or any side effects. The behavior is described adequately but not comprehensively.

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 concise with two sentences and an example, all front-loaded. The first sentence states the core purpose, the second describes the return value. Every sentence adds value with no unnecessary words.

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 tool has moderate complexity (coverage analysis across platforms) and no output schema. The description provides a high-level output description ('coverage map with implementation priority') but does not detail the output structure or schema. For a tool with no output schema, more completeness about the return format would be beneficial.

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 schema has 0% description coverage for the single parameter 'platforms'. The description adds meaning by stating 'a given set of platforms' and providing an example ('Meta and LinkedIn'), indicating it expects platform names. However, it does not specify the parameter type (array, string) or allowed values, leaving ambiguity.

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 the specific verb 'review' and resource 'identity signal namespaces' for given platforms. It provides a concrete example ('Meta and LinkedIn') and clarifies the output is a coverage map with implementation priority, distinguishing it from sibling tools like list_identity_namespaces or get_identity_namespace.

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 explains the tool's purpose ('identify gaps in coverage') with a clear example. However, it does not explicitly differentiate from similar sibling tools (e.g., check_signal_capture_health) or state when not to use it (e.g., for querying a single namespace). The guidance is clear but lacks explicit exclusions.

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