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Report an issue to ProductClank support

report_issue

Tell the ProductClank team a tool failed, returned something that doesn't make sense, or that you're stuck and can't finish the user's task. Free. A human is alerted and replies (read it with get_support_status). Use this INSTEAD of retrying a failing call in a loop — but not for expected guards the error already explains (insufficient credits, a confirmation prompt, a spend cap): relay those to the user. Include the failing tool, its error code/status and what you tried. If the error_code is a known one, the result carries self_help — a fix you can apply right away. Tell the user in one line that you reported it. To add detail to an earlier report pass its ticket_id rather than opening a new one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolNoThe ProductClank tool that failed, e.g. generate_posts.
contextNoArguments you passed, the error text, what you already tried. Never include secrets.
messageYesWhat you were trying to do, what happened, and what you expected.
categoryNoDefault 'other'.
severityNo'blocking' = you cannot continue the user's task. Default 'normal'.
ticket_idNoFollow up on a ticket you opened earlier.
error_codeNoThe machine error code from the failed call, if shown.
http_statusNoStatus from the failed call, if shown.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.7/5.0
Behavior5/5

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

Annotations only cover safety hints (non-readOnly, non-idempotent), so the description carries the behavioral burden and does so well: it is free, a human is alerted and replies, the result may carry a `self_help` fix for known error codes, and the agent should tell the user in one line. This is rich context beyond structured fields.

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?

Purpose and the loop-retry exclusion are front-loaded, and every sentence carries actionable content. It is dense and somewhat long, but no sentence is filler.

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 write tool with no output schema and no annotations covering behavior, the description supplies the missing return-signal (`self_help`), the reply channel, and follow-up semantics. It could say more about what a successful submission returns (e.g. ticket id), but it is close to complete.

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 baseline is 3; the description adds operational meaning by specifying that the report should include the failing tool, its error code/status, and what was tried, and that ticket_id is for adding detail to an earlier report rather than opening a new one. That is a modest lift above the already-complete schema.

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+resource ('Tell the ProductClank team a tool failed...') and enumerates the exact triggering conditions (failure, nonsense result, being stuck). It is clearly distinguishable from siblings, explicitly routing the agent to get_support_status for replies.

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?

It gives explicit when-to-use (instead of retrying a failing call in a loop) and when-not-to-use (expected guards like insufficient credits, confirmation prompts, spend caps — relay those to the user). The follow-up path via ticket_id vs. opening a new report is also specified.

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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