datacrazy_conversations_list
Buscar conversas (GET /api/v1/conversations).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | ||
| account | No |
Buscar conversas (GET /api/v1/conversations).
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | ||
| account | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description's mention of GET aligns with these annotations and does not contradict them. However, it adds no additional behavioral context such as pagination, filtering limits, or whether authentication is required beyond what the annotations imply. Given the annotation coverage, this is adequate but not enriched.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief (a single phrase), which is concise, but it is under-specified to the point of being almost tautological with the tool name. It lacks structure or additional detail that would earn its place. Effective conciseness should still convey essential information; here it provides only the bare minimum.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no parameter documentation, and a minimal description, the tool is incomplete. The description does not explain what the response contains (e.g., list of conversations, fields, pagination) or how the parameters affect results. Given the simplicity of the tool (two optional string params), a robust description could easily cover these aspects, but it does not.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description provides no explanation of the 'query' or 'account' parameters. The schema only gives types (both strings) but not their semantics. The description does not compensate for this gap, leaving the agent to guess what these parameters filters do (e.g., text search, account ID). This is a critical deficiency for parameter usability.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Buscar conversas' clearly indicates the tool searches/lists conversations, and the HTTP method GET is specified. This distinguishes it from sibling tools like datacrazy_conversations_finish_create (which implies a write action) and datacrazy_conversations_messages_list (which focuses on messages within conversations). However, the scope (e.g., all conversations vs. filtered) is implicit, so it is specific but not fully explicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description does not mention any context, prerequisites, or exclusions, and it does not differentiate it from the many other list operations in the sibling set. An agent would need external knowledge to decide whether this is the appropriate tool for a given query.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.