Agentic Tools MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'intelligent complexity analysis' and 'suggest breaking down,' implying it's a read-only analysis tool, but doesn't clarify if it modifies data (e.g., via 'autoCreateSubtasks'), requires specific permissions, or handles errors. The description lacks details on output format, rate limits, or side effects, leaving significant gaps for a tool with 6 parameters.

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 and front-loaded, with two sentences that directly state the purpose and benefit. There's no unnecessary repetition or fluff. However, it could be slightly more structured by explicitly separating the analysis and suggestion aspects, but it remains efficient overall.

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 complexity (6 parameters, no annotations, no output schema), the description is minimally adequate. It covers the core purpose but lacks details on behavioral traits, output expectations, and integration with sibling tools. Without annotations or output schema, the agent must infer behavior from the description alone, which is insufficient for full understanding, but it meets basic requirements.

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 schema already documents all parameters thoroughly. The description adds no specific parameter information beyond implying analysis of tasks and complexity thresholds. It doesn't explain how parameters like 'workingDirectory' or 'projectId' affect the analysis, so it relies entirely on the schema, meeting the baseline score of 3.

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: 'Analyze task complexity and suggest breaking down overly complex tasks into smaller, manageable subtasks.' It specifies the verb ('analyze') and resource ('task complexity'), and distinguishes it from sibling tools like 'create_subtask' or 'get_task' by focusing on analysis rather than creation or retrieval. However, it doesn't explicitly differentiate from 'infer_task_progress', which might involve similar analysis.

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 'better productivity and progress tracking' and mentions 'overly complex tasks,' suggesting it should be used when tasks are too complex. However, it lacks explicit guidance on when to choose this tool over alternatives like 'infer_task_progress' or 'get_next_task_recommendation', and doesn't specify prerequisites or exclusions, such as requiring existing tasks to analyze.

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