run_competitive_research

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

With no annotations provided, the description must shoulder the full burden of behavioral disclosure. It only mentions 'automatically' suggesting chaining of steps, but provides no details on side effects, output, runtime, or whether it is a read-only operation. This is insufficient for a complex orchestrator tool.

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, front-loaded sentence with no filler or redundant content. It is concise and structured effectively for a high-level tool, though it sacrifices detail for brevity.

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-step pipeline, 4 parameters, no output schema, no annotations), the description is vastly incomplete. It offers no information about the output, the relationship to sibling tools, or how parameters influence the pipeline, leaving significant gaps for an agent to understand the tool's full context.

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%, so the description must compensate. It only hints at the 'idea' parameter via 'product/startup idea', but says nothing about industry, geography, or targetAudience, leaving their roles unexplained. This fails to add meaningful semantics for three of the four parameters.

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 it executes the full 7-step AI Competitive Research pipeline automatically, with a specific verb and resource. It distinguishes itself from sibling tools that are the individual pipeline steps by emphasizing 'full' and 'automatically'.

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 this tool is used for end-to-end research in one go, but it does not explicitly state when to use this versus the individual sibling tools. There is no direct mention of alternatives or exclusions, so the usage context is only implied.

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