langfuse-mcp-java

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

The description aligns well with annotations (readOnlyHint: false matches 'Creates') and adds valuable information about the return value ('Returns the created comment with its assigned ID') which is not present in the structured annotations. It does not explicitly address the destructiveHint: true implication or openWorldHint: true, but 'Creates' sufficiently implies state mutation.

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 three sentences long with the main action front-loaded in the first sentence. The second sentence combines enum specification with requirement statements efficiently. There is minimal redundancy or wasted text, though the enum repetition is slightly redundant with the schema.

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 straightforward purpose (3 required parameters, 100% schema coverage, simple flat structure), the description is complete. It compensates for the missing output schema by describing the return value (comment with assigned ID), and annotations cover the behavioral safety profile.

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%, providing detailed descriptions for objectType, objectId, and content. The description repeats the enum values and required field status, which adds no semantic value beyond the schema. With complete schema coverage, the baseline score of 3 is appropriate.

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 ('Creates') and clearly identifies the resource (comment) and its attachment targets (trace, observation, session, prompt). This effectively distinguishes it from sibling creation tools like create_dataset or create_model by specifying exactly what types of objects comments can attach to.

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 specifies valid objectType values and required parameters, which provides implicit context for usage. However, it lacks explicit guidance on when to choose this tool over alternatives like get_comments (for reading) or when commenting is appropriate versus other actions. It states requirements but not strategic usage context.

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