FluxMCP

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

With no annotations provided, the description carries the full burden. It successfully discloses the efficiency characteristic relative to single-task queries and notes that it returns 'Status and result information.' However, it lacks details on error handling (e.g., behavior if some task_ids are invalid) or rate limiting, which would be expected for a batch API operation.

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 appropriately sized and well-structured with clear information hierarchy: purpose statement, efficiency rationale, usage guidelines with bullet points, and return value summary. Every sentence provides value without 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?

Given the tool's low complexity (1 parameter, simple query operation), 100% schema coverage, and existence of an output schema, the description is complete. It adequately covers the batch semantics and usage context without needing to duplicate the detailed return structure already defined in the output schema.

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?

The input schema has 100% description coverage ('List of task IDs to query. Maximum recommended batch size is 50 tasks'), establishing a baseline of 3. The description implies batching but does not add semantic details about the task_ids parameter (e.g., format, source) beyond what the schema already provides.

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 opens with a specific verb ('Query') and resource ('Flux image generation tasks'), clearly stating the batch scope ('multiple...at once'). It explicitly distinguishes itself from the sibling tool flux_get_task by noting it is 'More efficient than calling flux_get_task multiple times,' providing clear differentiation.

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?

Provides explicit 'Use this when:' guidance with three concrete scenarios (multiple pending generations, several images at once, tracking a batch). It explicitly names the alternative approach (calling flux_get_task multiple times) and explains why this tool is preferred (efficiency), giving clear selection criteria.

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