get_tooling_recommendations

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

With no annotations, the description carries full burden for behavioral disclosure but fails to explain what 'intelligent recommendations' entails (e.g., whether it relies on a project scan or external data). It does not state that the operation is read-only or describe any side effects, rate limits, or required permissions.

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 sentence that is efficient but lacks structure. It does not front-load key details or use formatting to improve scannability. While not verbose, it sacrifices completeness 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 absence of output schema and annotations, the description should explain what the output looks like (e.g., a list of recommendations with fields). It also fails to differentiate from similar sibling tools, leaving the agent without complete context for correct selection.

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 coverage is 100% with both parameters described. However, the tool description adds no additional meaning beyond the schema; it does not explain how 'priority_filter' maps to recommendation prioritization or what contexts influence 'include_install_commands'. The baseline for full schema coverage is 3, but the lack of added value reduces the score.

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 verb ('Get') and resource ('recommendations for missing or beneficial development tools'), making the tool's purpose evident. It is distinct from siblings like 'detect_project_tooling' (which detects existing tools) and 'get_framework_recommendations' (which focuses on frameworks), but does not explicitly highlight these differences.

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 provides no guidance on when to use this tool versus alternatives like 'detect_project_tooling' or 'get_framework_recommendations'. It does not mention prerequisites, context (e.g., requiring a project scan), or scenarios where the tool is inappropriate.

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