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drop_slice

Remove an unnecessary work slice from your estimate. Specify the effort, slice, and reason to keep your estimation records accurate.

Instructions

Drop a slice that turned out to be unnecessary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
effortYes
reasonYes
work_sliceYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
recordedYes
identifierYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a mutation (dropping a slice) but does not mention consequences, reversibility, required permissions, or side effects. The phrase 'that turned out to be unnecessary' adds a slight hint of intent but nothing about how the operation behaves (e.g., whether it permanently deletes or just marks as discarded).

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

Conciseness3/5

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

The description is a single sentence, so it is concise. However, it front-loads only a vague reason ('turned out to be unnecessary') and omits essential practical information. Conciseness is achieved at the expense of substantive content, making it under-specified rather than effectively structured.

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

Completeness2/5

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

The tool has three required parameters and an output schema, yet the description provides no context on how parameters relate, what the expected output is, or any constraints. The description is inadequate for a tool that likely mutates state and requires specific inputs. An agent would struggle to invoke it correctly without further schema documentation.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate for the undocumented parameters. It does not. The description offers no explanation of what 'effort', 'work_slice', or 'reason' refer to beyond their names, and does not clarify their formats or relationships. This is a critical gap for an agent to call the tool correctly.

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 clearly states the verb 'drop' and the resource 'slice', indicating the tool removes a slice. The phrase 'that turned out to be unnecessary' adds a hint of the rationale but does not differentiate it from sibling tools like close_slice or rename_slice. The purpose is clear at a basic level, but no explicit distinction is made.

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 is provided on when to use this tool versus alternatives such as close_slice or add_slice. The description gives no scenario-based advice, no conditions for selection, and no mention of exclusions. It only states the action without context.

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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