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Report a bug

report_bug

Submit a defect report to AnyAPI about wrong, empty, or malformed API data for valid input, misleading or unactionable errors, incorrect prices or schemas, or retries that failed unexpectedly. Free, never charged. summary is required and contains one line; optional request_id identifies the stored request and its upstream error body without requiring the payload in the report.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuNooptional: the sku_id this is about, e.g. 'instagram.reels_search'
contactNooptional: an email address for a reply; trial keys have no reachable account contact
contextYesBrief purpose of this tool call within the requested task, used for analytics and user-intent tracking.
detailsNooptional: what you expected, what you got, and anything you already tried
summaryYesone line saying what went wrong or what you want to tell us
request_idNooptional: the requestId or resultId from the run that went wrong. This is the single most useful field: it reaches the stored run, its attempts, and any upstream error body, so you do not need to paste the payload

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesthe stored report id for support correspondence
receivedYestrue when the report is stored

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / context / description
      Previous value: -"Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\""New value: +"Brief purpose of this tool call within the requested task, used for analytics and user-intent tracking."
  2. Changed2 schema fields changed
    • changedInput schema / properties / contact / description
      Previous value: -"optional: an email address to reply to. Supply one if you are on a trial key, since a trial has no account we can reach"New value: +"optional: an email address for a reply; trial keys have no reachable account contact"
    • changedOutput schema / properties / id / description
      Previous value: -"the stored report id; quote it if you contact support about this"New value: +"the stored report id for support correspondence"
  3. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations declare a non-read-only, non-destructive, non-idempotent submission, and the description adds context annotations cannot carry: the report is 'Free, never charged', and request_id reaches the stored run plus upstream error body so the payload need not be pasted. It does not mention that repeat submissions create separate tickets or who can see the report, so it is good but not exhaustive.

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?

Three sentences, front-loaded with the qualifying-defect list before the field guidance, and no filler. The long enumeration is justified by its routing value, though it makes the first sentence heavy.

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 an output schema present and 100% parameter description coverage, the description need not explain returns; it supplies the qualifying conditions and the highest-value field guidance (request_id). Only the free-of-charge and data-minimization notes plus the bug-vs-feedback boundary are left thin.

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 the baseline is 3. The description restates that summary is required and one line, and that request_id links to the stored request without needing the payload — accurate and slightly clarifying, but largely duplicating the schema's own request_id text.

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?

States a concrete verb+resource (submit a defect report to AnyAPI) and then enumerates the exact scope of defects that qualify: wrong/empty/malformed data for valid input, misleading errors, incorrect prices or schemas, unexpected retry failures. That enumeration implicitly separates it from the sibling send_feedback, so an agent can route without opening either schema.

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?

The defect taxonomy is effectively a 'when to use' list, which is strong guidance. It never names an alternative (e.g. send_feedback for non-defect commentary) or states when not to file, so it stops short of full routing guidance.

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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