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

With no annotations, the description carries the full burden of behavioral disclosure. It transparently explains the BYOK mechanism, including how to pass llm_provider and api_key, auto-detection from key prefix, and the ephemeral nature of keys (never stored, garbage collected). However, it does not disclose other potential behaviors like rate limits, error handling, or side effects, but the key transparency is valuable.

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 well-structured with a clear opening sentence, a bulleted list of specializations, and a concise BYOK section. It is appropriately sized, with no redundant text. Every sentence adds value, and the layout makes it easy to scan.

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 the tool's complexity (7 parameters) and the existence of an output schema, the description covers the core purpose, specializations, and BYOK behavior succinctly. It does not explain the return format, but that is handled by the output schema. It could improve by explicitly differentiating from sibling agents and providing usage conditions, but overall it is fairly complete.

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 71%, so the schema already documents most parameters. The description adds meaningful semantics for llm_provider and api_key by explaining the BYOK behavior, auto-detection, and ephemerality, which go beyond the schema's brief descriptions. It also gives context to concept_name and concept_description through the specialization list, though those are already well-defined in the schema.

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 purpose: 'Consult X Intelligent agent for innovation and strategy analysis.' It uses a specific verb ('Consult') and resource ('X Intelligent agent') and outlines five distinct specialization areas, which differentiates it from sibling agents like consult_agent_cs and consult_agent_z.

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 implies usage for innovation and strategy analysis through the specialization list, but it does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions or conditions. The context is clear but lacks explicit guidance on when not to use it or which sibling might be more appropriate.

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