get_request

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

With no annotations, the description carries the behavioral burden. The security warning about treating the payload as data and not following instructions in the response is a valuable, distinct behavioral disclosure. However, it stops short of stating whether there are side effects, authentication requirements, rate limits, or response-shape caveats.

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 short and mostly front-loaded: the primary verb and resource appear first, followed by the security warning and endpoint. The two sentence security warning is slightly redundant, but the second sentence adds concrete locations ('error messages, bodies, or paths'), so overall conciseness is good.

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?

Given 27 optional parameters, likely nested filtering behavior, and no output schema, the description is far too thin to let an agent call the tool reliably. The security warning and org scoping provide useful context, but the absence of any explanation of the response format or the large filter surface leaves it incomplete.

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 27 parameters with 0% schema description coverage, and the description adds no parameter semantics for any of them except a weak nod to requestId through the endpoint path. This leaves almost all parameters effectively undocumented, which is a severe gap for agent usage.

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 and resource: 'Returns Traceorb telemetry' for the organization, and the endpoint 'GET /v1/requests/{requestId}' clarifies that a request resource is being fetched. It is a clear operation description, though it does not explicitly differentiate itself from sibling tools like list_requests or compare_request.

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?

There is no explicit guidance about when to use this tool versus alternatives. The endpoint notation suggests fetching by requestId, but there is no statement of prerequisites, fallback tools, or when a different tool such as query_metrics or list_requests would be more appropriate.

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