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

Annotations declare readOnlyHint=false while the tool reads like a query, and the description usefully explains why: missing knowledge 'may create or update a tracked research demand,' justifying the write side effect. It also states 'No device commands are executed,' adding safety context. It does not mention rate limits or determinism caveats, but this is solid disclosure beyond the annotations.

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?

Two tightly written sentences, front-loaded with the core purpose and followed by the side-effect and safety notes. Every sentence carries unique information with no redundancy.

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 side-effect behavior is covered. However, with 0% parameter coverage on a nested required context object and no differentiation from query_domain_knowledge, the definition leaves meaningful gaps for correct invocation.

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% across 3 parameters, including a nested context object with vendor, version, model, runtime_mode (enum), operating_system, and shell_environment. The description only hints at version scoping and never explains the required question/context fields or how they map to results, so it fails to compensate for the coverage gap.

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?

States a specific verb (Return) and resources (deterministic, version-scoped commands, diagnostics, concepts) tied to a network question, so purpose is clear. It does not distinguish itself from the close sibling query_domain_knowledge or describe_knowledge_domain, leaving the agent to infer the difference.

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: the agent can infer this answers network questions, and 'no device commands are executed' clarifies scope. There is no explicit when-to-use/when-not guidance or any pointer to sibling tools like query_domain_knowledge for a different knowledge scope.

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