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Gillby

save my trip

save_my_trip
Idempotent

Save a trip. Supply a unique requestId and reuse it on retry. Saving does not assess navigation safety. Requires your Gillby account and explicit account consent.

Units: ft, kt, s, F, mi; directions FROM. Returns data and source/freshness metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare idempotentHint=true, readOnlyHint=false and destructiveHint=false, but the description adds value beyond them: it explains HOW idempotency is achieved (reuse requestId), states the auth/consent requirement, and explicitly disclaims navigation-safety assessment. It does not describe failure modes for a duplicate or conflicting requestId, which is the main remaining behavioral gap.

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?

Front-loaded with the core action and the most important invocation detail (requestId reuse) before the caveats. The units/direction line is dense but compresses a lot of schema-relevant convention into one sentence. Every sentence carries information, though the account/consent sentence could be tightened.

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

Completeness5/5

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

With no output schema, the description correctly fills in the return shape ('data and source/freshness metadata'). For a nested-object mutation it covers auth prerequisite, idempotency protocol, units/direction conventions, and the safety-scope disclaimer. An agent has everything needed to call it correctly; only edge-case error behavior is unspecified.

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 0% and the single top-level 'body' wraps a deeply nested trip object (from/to/via coords, departAt, speedKt, draftFt, activity, etc.), so the schema alone is cryptic. The description compensates with genuinely useful semantics — unit conventions (ft, kt, s, F, mi), the 'directions FROM' convention, and the requestId freshness requirement — but leaves the trip fields (name, via ordering, status) unexplained, so it only partially closes the gap.

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?

States a specific verb+resource ('Save a trip') that is distinct from update_my_trip and save_my_place. It also pre-empts a likely misread by noting saving does not assess navigation safety, implicitly signalling the condition-checking siblings. It never names the closest alternatives (update_my_trip, save_my_place) explicitly, so sibling differentiation is only implied.

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?

Gives concrete operational guidance for retries ('Supply a unique requestId and reuse it on retry') and states the account/consent prerequisite, which is real usage context. However, it never says when to choose this over update_my_trip (create vs modify) or how it relates to plan_my_route/get_briefing, so the create-vs-update decision is left to inference.

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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