assess_team

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

With no annotations provided, the description carries the behavioral burden. The word 'Assess' suggests a read-only analysis, and the listed facets clarify what the tool analyzes, but the description does not explicitly state that no mutations occur, what the response format is, or whether there are any external/dependency effects.

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, compact sentence with a clear verb-object structure and a well-organized comma-separated list of deliverables. It is front-loaded and has no filler, though a bit more detail about prerequisites or usage would improve its completeness.

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?

The description conveys the main domain and deliverables, but with no output schema and no annotations, it leaves the agent unsure about response structure, edge-case behavior, and explicit conditions for use. It is sufficient for basic selection but not fully complete for nuanced tool 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 100%, so the input schema already documents all four parameters. The description adds context about expected outputs (salary ranges, skill gap, etc.) but does not explain how specific parameters like 'features' or 'current_team_size' map to those outputs beyond what the schema already says.

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 identifies the tool's purpose with a specific verb ('Assess') and resource ('required team'), and lists concrete outputs: roles, skills, hiring plan, salary ranges, organization structure, and skill gap analysis. While this distinguishes it from most sibling tools by domain, it does not explicitly contrast it with any sibling or name overlapping alternatives.

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 when this tool should be used: when team composition, hiring, salary, and skill-gap planning are needed. However, it provides no explicit exclusions, prerequisites, or guidance for choosing between this and related analysis/planning tools, leaving the agent to infer applicability.

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