langfuse-mcp-java

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

Description presents the tool as a simple read operation ('Returns a paginated list'), but annotations indicate destructiveHint=true and readOnlyHint=false, implying state mutation. The description fails to disclose this destructive behavior, the non-idempotent nature, or openWorld implications, contradicting the safety profile implied by the word 'Returns'.

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?

Well-structured with purpose first, followed by domain explanation, return fields (compensating for missing output schema), and requirements. Minor redundancy in stating required parameters that are already marked required in 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?

Compensates well for missing output schema by explicitly listing return fields and explains the conceptual model. However, incomplete regarding behavioral safety given the destructive annotation contradiction, and lacks usage context relative to sibling dataset tools.

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 has 100% description coverage. Description states 'Both datasetId and runName are required', which duplicates the schema's required array. No additional semantic context added for page/limit beyond what the schema provides, which warrants the baseline score for high-coverage schemas.

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?

Specific verb 'Returns' and resource 'dataset run items'. Distinguishes from siblings like list_dataset_runs and list_dataset_items by explaining the domain concept that 'run items link a dataset item to a trace', clarifying this is about evaluation linkage objects, not just datasets or runs.

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?

No explicit guidance on when to use this versus siblings like list_dataset_runs, get_dataset_run, or create_dataset_run_item. While it explains what run items are, it doesn't state when to list them versus other dataset operations.

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