report_bug
Idempotent
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| context | No | ||
| message | Yes | ||
| conversation | No | [] |
DF-e
Schema Changelog
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
- First observed
TDQS
A3.6/5.0
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false. The description adds the useful detail that conversation context is expected for reproduction, but it does not explain side effects, response behavior, or whether the report is actually submitted to an external system.
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 two short sentences with the primary purpose front-loaded and no filler. It is concise, though the second sentence could better align with the schema's actual parameter types.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a simple tool with no output schema, but the description still omits key invocation details: what 'message' should contain, how 'context' is used, and how the 'conversation' string is expected to be formatted. The missing parameter semantics make it incomplete for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It explains the 'conversation' parameter's purpose but calls it an 'array' while the schema types it as a string with default '[]'. It says nothing about the required 'message' parameter or the 'context' parameter, leaving important semantics unclear.
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 uses specific verbs ('Report', 'send') and names the exact resources: bug, missing feature, and feedback. It clearly distinguishes this tool from the DFe-focused siblings and communicates the full scope of the operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives concrete use cases (bug, missing feature, feedback) and tells the agent to include conversation data for reproduction. It does not explicitly state when not to use it or name alternatives, but no sibling tool overlaps this purpose.
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
A3.6/5.0
Disambiguation3/5
The six dfe_* tools are clearly distinguished by key/NSU/sync/quota/account/DANFE, but the platform layer has overlap: connect and toolkit_info both report connection/status, and marketplace contains a report_bug action that duplicates the standalone report_bug tool. The detailed descriptions help, but an agent can still misselect between these near-duplicate entry points.
Naming Consistency3/5
The dfe_ prefix gives the fiscal tools a recognizable family, but the set mixes Portuguese and English (dfe_consultar_chave vs dfe_list_accounts) and mixes prefixed domain verbs with bare English platform verbs (authenticate, connect, show_version). It is readable and mostly snake_case, but not one consistent convention.
Tool Count4/5
Twelve tools is a reasonable, manageable count. The slight over-inclusion comes from six generic platform/meta tools (marketplace, authenticate, toolkit_info, report_bug, etc.) that sit alongside the DF-e domain tools, making the surface broader than the server name implies.
Completeness3/5
The receipt-side DF-e workflow is mostly covered: sync, lookup by chave/NSU, quota check, account listing, and DANFE generation all exist. However, there is no manifestation/event tool (ciência, confirmação, desconhecimento), so resumo documents cannot be upgraded to complete XML/DANFE within this server, and the sync description references an auditor_fiscal_auditar_nota tool that is not present.