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Report a bug

report_bug

Report a bug in Hermoso to the team. Use this when something in Hermoso genuinely misbehaves — a tool errors unexpectedly, returns a wrong or malformed result, a render comes back broken, or documented behaviour doesn't match what happened. Include what you were trying to do, the exact tool call and arguments, and what came back. Do NOT use it for out-of-credits, a policy refusal, or a missing capability (use request_feature for that). Free, no credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailsYeswhat you were doing, the tool + arguments you called, what you expected, and what actually happened (paste the exact error)
summaryYesone-line summary of the bug
severityNohigh = blocks the task or loses paid work; medium = wrong output but workable; low = cosmetic

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

The description adds useful behavioral context beyond the annotations: it explicitly states the action has no credit cost ('Free, no credits') and clarifies that it reports to the team rather than fixing the issue. The annotations already indicate non-read-only, non-destructive, non-idempotent behavior, and the description does not contradict them.

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?

The description is compact and every sentence earns its place: a clear opening statement, concrete use-case examples, explicit submission guidance, exclusions with the alternative, and a cost note. It is front-loaded with the core purpose and then narrows to conditions and constraints.

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?

For a simple reporting tool with two required string parameters and one optional enum, the description covers when to use it, what to include, what not to include, and the cost implication. No output schema is needed for a submit-style tool, and the annotations plus schema fully cover the remaining semantics.

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 parameters are already well documented. The description's guidance about including what you were trying to do, the exact tool call, and what came back largely paraphrases the existing 'details' parameter description, so it adds limited new semantic value. It also does not explain the summary or severity parameters beyond what the schema already provides.

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 clearly states the action ('report a bug in Hermoso to the team') and gives a specific definition of what counts as a genuine bug: unexpected errors, wrong or malformed results, broken renders, or behavior that contradicts documentation. It also names its key sibling, request_feature, when describing what the tool is not for, helping an agent distinguish it from nearby capabilities.

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 explicitly tells agents when to use the tool ('when something in Hermoso genuinely misbehaves') and when NOT to use it ('out-of-credits, a policy refusal, or a missing capability'), pointing to request_feature as the alternative. This is exactly the level of routing guidance an agent needs.

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

A3.8/5.0
Disambiguation3/5

The descriptions are exceptionally detailed and cross-reference one another (e.g. post_edit vs finish_video vs edit_video), which genuinely helps, but 168 tools still contain tight clusters—video creation/editing, scheduling, and post-publishing—where misselection is easy. Many tools also reference hidden companions not in the visible set, adding ambiguity.

Naming Consistency4/5

The overwhelming majority follow a clear verb_noun snake_case convention (post_to_x, search_x, list_x, create_x, update_x). Minor deviations like store_get, billing_status, error_detail, and the hermoso_ prefix break the pattern slightly but do not obscure it.

Tool Count1/5

At 168 tools this is far beyond the 50+ threshold, and regardless of how broad the platform's purpose is, the sheer number makes the set hard to navigate. The server mitigates with groups and find_tools/call_tool, but the count itself is extreme.

Completeness4/5

The set covers a full marketing lifecycle—research, planning, creation, publishing, scheduling, measurement, billing, and file management—with no major workflow gaps. Some referenced tools like list_shopify_products and manage_meta_post are not in the visible list, but find_tools and call_tool are explicitly designed to close that gap.