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get_rental_status

Idempotent

Same data as rental_status (which takes the access code instead): rental state, start and end times, and delivered TH reported by the rigs. awaitingPoolApproval=true while a custom pool waits for manual approval (up to 2 hours, refunded if not approved); rejectedReason names why a pool was refused (refund queued). Needs rental_id and creator_secret. Not read-only: while unpaid it re-checks the payment, which can start the rental or queue a refund, and it re-sends a stalled pool switch.

Input Schema

NameRequiredDescriptionDefault
rental_idYesrentalId from create_rental.
creator_secretYescreatorSecret from create_rental. Shown once; keep it private.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false, openWorldHint=true, and idempotentHint=true, but the description adds critical context: it explains that the tool is not read-only because it re-checks payment (possibly starting a rental or queuing a refund) and re-sends a stalled pool switch. This reveals side effects beyond annotations. It doesn't fully specify side-effect triggers or failure modes, but the key mutation behavior is disclosed.

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?

The description is dense but well-structured: one sentence on data and comparison, then status flags, then required params, then side effects. Some sentences pack multiple facts but none are wasted; it is slightly long but front-loaded with the main purpose.

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?

For a 2-param tool with full schema coverage and no output schema, the description covers what it returns, required inputs, status semantics (awaitingPoolApproval, rejectedReason), and side effects. It could mention error cases or rate limits, but overall it gives enough for correct invocation and interpretation.

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 parameters are already well-documented. The description reinforces that rental_id and creator_secret are required and hints at their source (create_rental), but adds no extra semantics (e.g., format, sensitivity beyond 'keep it private' in schema). Baseline 3 is appropriate.

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?

The description states a specific verb and resource ('get_rental_status' returns rental state), enumerates the returned fields (rental state, start/end times, delivered TH), and explicitly distinguishes it from the sibling 'rental_status' by noting the input difference (access code vs rental_id). An agent can choose between these two tools without opening the schemas.

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?

It contrasts with the alternative 'rental_status' and explains that this variant needs rental_id/creator_secret. However, it doesn't state when NOT to use it or which one to prefer based on available credentials, beyond the implicit credential match.

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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