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Glama

ride_cancel

Cancel a live ride in dry-run mode to preview the outcome and required confirmations before finalizing.

Instructions

Cancel a live ride (dry-run)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNo
tokenNo
reasonNo
confirmNo
ride_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.1/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden but delivers almost nothing. '(dry-run)' hints at absence of real side effects, yet this is unexplained and conflicts with the plain reading of 'Cancel', and nothing is said about the token/state/confirm parameters or authorization requirements.

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 single short phrase is front-loaded and wastes no words, but this brevity comes from under-specification rather than discipline, so it is only minimally acceptable.

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

Completeness1/5

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

A five-parameter mutation tool with no annotations and no output schema, described in six words. Nothing an agent needs to invoke it correctly — required vs optional params, dry-run semantics, confirm behavior — is present.

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?

Five parameters with 0% schema description coverage, and the description explains none of them. The meaning of ride_id, reason, confirm, state, and token is left entirely to the agent's guesswork.

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

Purpose3/5

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

States a specific verb and resource ('Cancel a live ride'), which is better than a tautology, but the parenthetical '(dry-run)' is ambiguous about whether this tool always simulates or merely supports a simulation mode. It also does not differentiate itself from the many sibling ride tools such as ride_status or ride_track.

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 when-to-use guidance, no prerequisites, no mention of alternatives. The description never says under what conditions an agent should cancel versus check ride_status or ride_history first.

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