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Send feedback

send_feedback

Tell AnyAPI something that is not a defect: an API you wanted and could not find in the catalog, a field missing from a result you needed, a confusing part of the docs or tool descriptions, or what would have made a task easier. Free, never charged. Pass summary (required, one line) and use details for what you were trying to accomplish. Use report_bug instead when something behaved incorrectly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuNooptional: the sku_id this is about, e.g. 'instagram.reels_search'
contactNooptional: an email address to reply to. Supply one if you are on a trial key, since a trial has no account we can reach
contextYesExplain 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."
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; quote it if you contact support about this
receivedYestrue when the report is stored

Schema Changelog

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

  1. Added

TDQS

A4.6/5.0
Behavior4/5

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

The annotations provide no meaningful behavioral guidance, so the description carries the burden. It adds useful transparency by stating 'Free, never charged' and clarifying that this is feedback rather than a defect report. It does not disclose whether submissions create records or reach a human, but it gives agents an accurate sense of the operation's low-risk, non-defect nature.

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

Conciseness5/5

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

Three sentences, each earning its place: scoping, cost behavior, and parameter-routing guidance. The most decision-relevant information is front-loaded, and there is no filler or redundant restating of the tool name.

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 six-parameter tool with a fully described schema and an output schema, the description covers the essential decision: what counts as feedback and when to use report_bug instead. It does not mention that `context` is also required or that it has strict formatting rules, but those are fully specified in the schema and the description's omission does not prevent correct invocation.

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

Parameters4/5

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

Schema coverage is 100%, so the schema already documents every parameter clearly. The description adds meaningful guidance beyond that: it highlights that `summary` is required and one line, and it explains that `details` should capture what the user was trying to accomplish. This helps the agent compose a useful submission without duplicating schema content.

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 opens with a specific verb and resource ('Tell AnyAPI') and enumerates concrete non-defect feedback examples: missing APIs, missing fields, confusing docs, and friction points. It also explicitly contrasts with report_bug, which makes its scope unmistakable and distinguishes it from a key sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states exactly when to use this tool—for non-defect feedback—and explicitly names the alternative: 'Use report_bug instead when something behaved incorrectly.' It also gives example triggers, leaving no ambiguity about which cases belong here versus a sibling.

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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TDQS

A4.5/5.0
Disambiguation5/5

Each tool has a clearly distinct role: discovery (list_apis, search_apis, get_api), pricing (quote_api), execution (run_api), request/result inspection (get_request, read_result), account status (get_balance), and feedback (report_bug, send_feedback). Even the two feedback tools are cleanly separated by defect vs. non-defect.

Naming Consistency5/5

Names consistently follow a snake_case verb_noun pattern: get_api, get_balance, get_request, list_apis, quote_api, read_result, report_bug, run_api, search_apis, send_feedback. There is no mixing of conventions or vague single-word verbs.

Tool Count5/5

Ten tools is well-scoped for an API gateway/aggregator. Each tool covers a necessary phase of the workflow—discovery, schema/pricing inspection, execution, result retrieval, account balance, and user feedback—without redundancy or bloat.

Completeness4/5

The lifecycle from discovering APIs through quoting, executing, checking request status, and reading cached results is well covered. Minor gaps such as no explicit way to cancel a queued/running request or list past requests are workable but not fully closed.

Resources