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HTML/CSS to Image API

Submit Feedback

submit_feedback

Sends feedback to the HCTI team about HTML/CSS to Image, its API, or its MCP tools. Use this to report bugs or unexpected rendering results, request features, describe confusing behavior or documentation, and suggest improvements. Include relevant context such as what you tried, what you expected, and what happened. If the user did not ask you to send feedback, ask them before submitting. Do not include API keys, credentials, tokens, or personal or confidential data. Returns a confirmation message and feedback ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesDescribe the bug, feature request, or suggestion in at least 20 characters after trimming whitespace. More detail helps us investigate and understand your feedback. For problems, include what you tried, what you expected, what happened, relevant steps to reproduce the issue, and any related request_ids, image_ids, or template_ids.
subjectNoOptional short summary of the bug, feature request, or suggestion.
callback_urlNoOptional public HTTP or HTTPS callback URL for a response. No SLA or guarantee is provided on callback responses.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemNoOperation result. Check success before using this value.
errorNoError details when the operation failed; null on success.
successNoWhether the operation succeeded. If false, inspect error before retrying.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations cover the mutation profile (readOnlyHint=false, destructiveHint=false, idempotentHint=false, openWorldHint=false), so the description's job is to add what they don't say. It does: the consent gate before submission, the privacy prohibition on secrets/PII, and that a confirmation message plus feedback ID is returned. It stops short of describing delivery guarantees or rate limits, but the added context is substantive.

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-loads what the tool does and what it is for, then layers on consent and privacy constraints. Four sentences with essentially no filler, though the closing sentence about the return value is largely redundant given the output schema exists.

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?

The tool is simple (one required string parameter), annotations carry the safety profile, an output schema exists, and the description still supplies the two things an agent could get wrong: consent before sending and excluding confidential data. Nothing needed to call it correctly is missing.

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 all three parameters (message, subject, callback_url) are already documented, including the 20-character minimum and the null defaults. The description's 'what you tried, what you expected, what happened' phrasing reinforces the message parameter but adds no syntax or format detail beyond the schema, so baseline 3 applies.

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 specific verb (Sends) and resource (feedback to the HCTI team) and enumerates the subject matter it covers: the product, its API, and its MCP tools. No sibling tool does anything similar, so the agent can immediately place it among the create_*/update_*/list_* CRUD tools without ambiguity.

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?

Explicitly enumerates when to use it (bugs, unexpected rendering results, feature requests, confusing behavior or docs, improvement suggestions) and adds a hard precondition: 'If the user did not ask you to send feedback, ask them before submitting.' It also gives an exclusion on content (no API keys, credentials, tokens, or personal/confidential data), which is actionable when/when-not guidance rather than implied usage.

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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