suggest_merges

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 discloses the core behavior (title similarity-based suggestion) and provides an example, but it does not explicitly state whether the operation is read-only, what side effects might occur, or any algorithm details. The basics are covered, but not deeply.

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 at two sentences, front-loaded with the action, and includes a practical example. Every word earns its place with no redundancy or filler.

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?

The tool is relatively simple, has an output schema, and the description covers purpose and use case. However, the unexplained db_path parameter and lack of workflow guidance (e.g., prerequisites or relationship to other tools) leave noticeable gaps in completeness.

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 0%, and the only parameter (db_path) is not mentioned in the description at all. The tool description provides no guidance on what db_path refers to or when to supply it, so the description completely fails to compensate for the lack of schema-level parameter documentation.

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 'suggest playlist merge candidates based on title similarity,' using a specific verb and resource. It distinguishes itself from siblings like merge_playlists (actual merging) and find_duplicates (duplicate detection) by focusing on similarity-based suggestions.

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?

Gives clear context with 'Useful for consolidating fragmented playlists' and a concrete example ('Tech 2020' + 'Tech 2021'). However, it does not explicitly state when not to use it or mention alternative tools, so it falls short of full guideline coverage.

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