analyze_task

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 describes the tool's behavior (determining relevant servers, estimating token consumption, giving optimization recommendations) but does not disclose whether it is read-only, requires authentication, or has side effects. The description is moderately transparent but lacks completeness.

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 concise with the main purpose front-loaded. However, it repeats information in German and English, which adds redundancy. The structure is clear but could be more efficient.

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 one-parameter input and sibling tools, the description covers the tool's purpose and parameter. However, it does not describe the output format or return value (no output schema), leaving a gap. Additionally, it does not explain how this tool fits with siblings like 'optimize_server_set' or 'suggest_minimal_set'.

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 schema description coverage at 0%, the description must add meaning. It explains that 'task_description' is a description of the task and provides an example ('Check SOL token safety'). This adds value beyond the schema, though it could specify format or constraints.

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 explicitly states the tool analyzes a task and recommends optimal server combinations, determines relevant MCP servers, estimates token consumption, and gives optimization recommendations. This clearly distinguishes it from siblings like 'estimate_context_usage' or 'get_server_catalog'.

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 the tool is used for analyzing tasks and getting server recommendations, but it provides no explicit guidance on when to use this tool versus alternatives like 'optimize_server_set' or 'suggest_minimal_set'. No when-not-to-use instructions are given.

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