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Delete a Caliper dataset

caliper_datasets_delete
Destructive

Deletes a dataset. Evals bound to it stop being runnable (their binding shows datasetOk: false), and reviews/specs over its items lose their source — check caliper_evals_list for evals that reference it and say so before proposing. May return needs_confirmation.

Input Schema

NameRequiredDescriptionDefault
datasetIdYesDataset id, from caliper_datasets_list.
workspaceNoWorkspace slug. Personal tokens with no default workspace MUST pass this; tokens with a default can override per call. Ignored for workspace API keys.
approvalIdNoApproval id from a prior needs_confirmation response. Omit on the first call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, so the safety profile is known; the description adds real value by naming the cascade (evals become non-runnable, binding shows datasetOk: false, reviews/specs lose their source) and warning that a needs_confirmation response is possible. It stops short of saying whether deletion is reversible or what the response payload looks like.

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?

Two tight sentences, front-loading the action and then the side effects, with the prerequisite check and confirmation caveat in the second half. No filler, though the em-dash clause packs several consequences into one dense sentence.

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

Completeness4/5

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

With no output schema and only three schema-documented params, the description supplies what matters for a destructive tool: cascading effects, a required verification step against a sibling tool, and the possibility of a confirmation round-trip. Reversibility and return shape remain unstated, but those are the only meaningful gaps.

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 all three parameters (datasetId, workspace, approvalId) are already documented in the schema. The description only alludes to approvalId via 'needs_confirmation' and adds no syntax or format detail beyond that. Baseline 3 applies when the schema carries the parameter burden.

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?

States a specific verb and resource ('Deletes a dataset') and immediately scopes the blast radius to dependent evals and reviews/specs. An agent can distinguish it from caliper_datasets_create, update, and remove_item without opening any schema.

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

Usage Guidelines4/5

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

Gives an explicit pre-flight workflow: check caliper_evals_list for referencing evals and surface that before proposing the deletion. It names the alternative tool to consult but offers no when-not-to-use condition (e.g. prefer update/naming for trivial migrations).

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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