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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

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false and destructiveHint=false, so the description doesn't need to re-state mutation. It adds useful behavioral context: 'Free, no credits' (cost implication) and guidance on what to include (what you were doing, exact tool call and arguments, what came back). No contradictions.

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?

The description is front-loaded with the core purpose, then flows into usage guidance, exclusions, and cost. It's slightly long but every sentence earns its place with no fluff. The structure is logical and scannable.

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 report tool with no output schema, the description is complete: it tells the agent when to use it, how to construct a good report, and what not to use it for. It even names the sibling alternative. An agent has everything needed to call it correctly.

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% and all three parameters (summary, details, severity) are fully described in the schema. The description doesn't add parameter-specific syntax beyond what the schema provides, but it does contextualize the 'details' parameter by listing what to include. Baseline 3 is appropriate when schema covers everything.

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 verb+resource ('Report a bug in Hermoso to the team') and enumerates specific examples of genuine misbehavior (tool errors, wrong/malformed results, broken renders, documented-behavior mismatch). It also explicitly distinguishes itself from request_feature, so an agent can tell them apart 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 Guidelines5/5

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

It gives explicit when-to-use conditions (genuine misbehavior with concrete examples) and when-not-to-use exclusions (out-of-credits, policy refusal, missing capability) with the correct alternative named (request_feature). This is exactly the explicit routing needed.

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

A3.7/5.0
Disambiguation2/5

With 293 tools, the surface is enormous and many tools have overlapping purposes—multiple posting tools (post_to_meta, post_to_linkedin, schedule_post, etc.), multiple analytics tools per channel, and several search tools (search_meta_ads, search_instagram, search_reddit...). While each description is detailed, the volume makes it difficult for an agent to reliably distinguish between similar tools without careful reading, leading to frequent misselection.

Naming Consistency4/5

The naming is largely consistent with a verb_noun pattern (post_to_*, list_*, create_*, delete_*, update_*, manage_*). There are clear families for major operations. A few outliers like 'google_business_account', 'hermoso_capabilities', and 'store_get' break the pattern, but the overwhelming majority follow a predictable structure, making navigation somewhat easier.

Tool Count1/5

293 tools is far beyond any reasonable scope for a single MCP server, even for a comprehensive marketing platform. The calibration guide flags 50+ as an extreme mismatch, and this is nearly six times that threshold. Such a large surface overwhelms context windows, increases the probability of misselection, and makes it impractical for agents to learn or use effectively.

Completeness4/5

The tool set covers a vast domain: ad creation and rendering, posting across nine+ social channels, analytics and reporting, file management (Drive/OneDrive), competitor research, brand management, and more. It appears to provide CRUD and lifecycle coverage for most resources. While there may be minor gaps given the immense scope, the overall coverage is impressively comprehensive.