datacrazy_pipelines_list
Buscar pipelines (GET /api/v1/pipelines).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | ||
| account | No |
Buscar pipelines (GET /api/v1/pipelines).
| 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?
The annotations already declare readOnlyHint, idempotentHint, and destructiveHint, making the safety profile clear. The description adds no behavioral details beyond the HTTP method (which is redundant). It does not disclose potential response characteristics (e.g., pagination, default limits) or any side effects, so it adds minimal value over the annotations.
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 concise, consisting of a single sentence. It is front-loaded with the core action and resource. There is no fluff, so it earns a high score for conciseness. However, its brevity works against completeness, but conciseness is about avoiding unnecessary length, which it does.
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?
The tool has two optional parameters and no output schema, so the description must provide enough context for the agent to understand the tool's behavior and inputs. It fails to do so—no parameter descriptions, no mention of response format, and no pagination info. This is inadequate for a real-world list operation, leaving the agent to guess.
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?
With 0% schema description coverage, the description carries the full burden of explaining the two parameters ('query' and 'account'). However, it gives no information about their semantics, formats, or optionality. This is a critical gap; an agent cannot determine how to use these filters effectively.
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 clearly states the action ('Buscar' = search) and resource (pipelines), along with the HTTP method. It accurately conveys the tool's primary function as a search/list operation. However, it does not explicitly distinguish itself from sibling tools like datacrazy_pipelines_get, which might also involve 'pipelines' but likely retrieves a single item. The name 'list' helps, but the description alone doesn't make the distinction.
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?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to prefer searching over getting a specific pipeline, nor does it explain the purpose of the 'query' and 'account' parameters. Given the sibling tools like datacrazy_pipelines_get and datacrazy_pipelines_stages_list, there is no context to select the right tool.
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.