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Quillm

Delete rows

delete_rows
Destructive

Deletes rows from a dataset by key, e.g. keys: [{"month": "2026-01"}], or every row with all=true (use before re-loading a dataset from scratch).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
allNoDelete every row in the dataset.
keysNoKey values of the rows to delete, e.g. [{"month": "2026-01"}].
noteNoOptional changelog note.
datasetYesThe dataset's name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, idempotentHint=false and readOnlyHint=false, so the safety profile is covered. The description adds the all-vs-key mode distinction, but says nothing about irreversibility, behavior when a key does not exist, or required permissions, so it adds only modest context beyond the annotations.

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?

A single sentence that front-loads the operation, gives an inline example, and covers the alternative mode with its use case. No filler or redundancy.

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 full schema coverage and annotations carrying the destructive profile, the description covers both deletion modes adequately for correct invocation. It stops short of describing what happens to non-matching keys or whether deletion is reversible, which would be helpful for a destructive tool, but these are minor 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 description coverage is 100%, so each parameter (all, keys, note, dataset) is already documented in the schema. The description restates the keys example and the all=true meaning without adding format, constraint, or interaction details beyond what the schema provides.

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

Purpose4/5

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

The description states a specific verb and resource ('Deletes rows from a dataset') and clarifies the two deletion modes with a concrete key example. It implicitly separates itself from delete_dataset/upsert_rows via the 'rows' scope, but never names a sibling to make the boundary explicit.

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

Usage Guidelines3/5

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

It gives one concrete scenario for the all=true path ('use before re-loading a dataset from scratch'), which is genuine when-to-use guidance. However it offers no guidance on when key-based deletion is preferable to upsert_rows or delete_dataset, and no exclusions or preconditions.

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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