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avivsinai

langfuse-mcp

list_dataset_runs

Retrieve all runs associated with a specific dataset name. Supports pagination to control the number of results per page.

Instructions

List runs for a dataset by dataset name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination (starts at 1)
limitNoItems per page (max 100)
dataset_nameYesThe name of the dataset to list runs from

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, description must disclose behavioral traits. It only states 'list runs' with no mention of pagination, ordering, error handling, or side effects. Pagination parameters exist in schema but description does not clarify behavior.

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

Conciseness5/5

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

Single sentence with no unnecessary words. Efficiently conveys the core purpose.

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

Completeness3/5

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

Output schema exists (not shown), so explanation of return values is not required. However, the description lacks details on pagination behavior and iteration process, which are important for a listing tool. Could be more complete.

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

Parameters3/5

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

Schema coverage is 100%, so baseline is 3. Description adds no additional meaning beyond what the schema already provides for the three parameters.

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

Purpose5/5

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

Description clearly states the action (list), resource (runs), and the constraint (by dataset name). It effectively distinguishes from sibling tools like 'get_dataset_run' (single run) and 'list_dataset_items' (different resource).

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives (e.g., 'get_dataset_run' for a single run, 'list_dataset_items' for items). Does not mention prerequisites or exclusions.

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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