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

No annotations are provided, so the description carries the full burden. It clearly describes what the tool returns (counts and triples for A-only, B-only, and shared categories), which is a key behavioral aspect. However, it does not explicitly state whether the operation is read-only or mention any side effects, though the act of comparing implies no mutation.

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 concise sentence that front-loads the action and resource, followed by a colon and a compact list of output categories. Every word contributes value with no filler or 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?

For a simple tool with only two string parameters and no output schema, the description adequately covers the essential return values (counts and triples for each category). It does not discuss edge cases like identical jobs or whether triples are full URIs, but the core functionality is well communicated for a tool of this complexity.

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?

With 0% schema description coverage, the description must compensate. It does so by mapping the two parameters (job_id_a and job_id_b) to the 'A' and 'B' in 'A-only / B-only', giving semantic meaning to the parameter order. It lacks details about ID formats or job definitions, but the mapping is sufficiently clear for a simple two-parameter tool.

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 clearly states the tool's function: comparing two jobs' deltas and reporting A-only, B-only, and shared triple counts plus triples. The verb 'compare' and specific resource 'two jobs' deltas' make the purpose unambiguous and distinguish it from sibling tools like brainkb_delta that may compare a single job to a base.

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 does not provide any guidance on when to use this tool versus the sibling tools brainkb_delta or brainkb_delta_history. There is no mention of conditions, prerequisites, or exclusions, leaving the agent without context for tool selection beyond the inherent meaning of 'compare two jobs.'

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