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recommend_project

Read-only

Recommend open source projects for a concrete agent use case and constraints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
use_caseYes
require_d1NoFail closed unless the tool result is backed by D1 instead of seed fallback.
constraintsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false, so the description does not need to cover basic safety. However, it adds no context about how recommendations are generated, what response to expect, or whether results are deterministic. The description is consistent with annotations, so no contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that leads with the action and avoids filler. It is easily scannable and efficient, though its brevity contributes to the lack of detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is inadequate for a tool with a nested constraints object, no output schema, and multiple parameters. It does not explain what recommendations look like, how constraints are applied, or the role of limit and require_d1. This leaves the agent with significant uncertainty about how to invoke the tool and interpret results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 25% (only require_d1 has a description), and the tool description does not compensate. It mentions 'use case' and 'constraints' but does not explain the nested constraints structure, the meaning of limit, or how these parameters affect results. The description adds little beyond the parameter names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific verb 'Recommend' and resource 'open source projects', which establishes the tool's core purpose. However, it does not distinguish itself from sibling tools like search_projects or compare_projects, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'for a concrete agent use case and constraints' implies the tool is best used when a specific use case and constraints are provided, but there is no explicit guidance on when to choose this over search_projects or compare_projects. No exclusions or alternatives are mentioned, making the guidance only moderately useful.

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

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