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Hydracept

hydracept_project_request_operation

POST a project operation. Hosted MCP does not run the customer repo; a local watcher must execute it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNo
commandYes
contextNo
action_keyNo
project_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

No annotations are present, so the description carries the full burden. It discloses a key behavioral fact: the tool only requests an operation; execution happens via a local watcher. This goes beyond the name and clarifies that the call is not synchronous. However, it omits other relevant behavior such as error handling, idempotency, or what happens if the watcher is absent, leaving gaps.

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 two sentences with no superfluous content. The purpose is front-loaded in the first sentence, and the execution model is stated succinctly in the second. This is appropriately concise and scannable.

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?

With five parameters, no schema descriptions, no annotations, and only an output schema (whose content is unknown here), the description is far from complete. It fails to explain what a valid command looks like, what input/context objects should contain, or whether the response is a receipt or a status. An agent cannot reliably construct a correct call from this information alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

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 for explaining the five parameters. It does not mention any of them (command, input, context, action_key, project_id), leaving agents to guess their meaning and valid values. This is a critical deficiency given the schema provides no descriptions either.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('POST') and resource ('a project operation'), but the term 'project operation' is underspecified, and it doesn't define what operations are supported. It doesn't explicitly distinguish from nearby siblings like hydracept_project_get_operation; the reader infers the difference from 'POST' vs. 'get' but no further detail is given.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

The description gives no guidance on when to use this tool versus alternatives. It doesn't mention any conditions, prerequisites, or exclusion criteria. The note about 'Hosted MCP does not run the customer repo' describes execution behavior, not usage context, and offers no pointers to other tools for different scenarios.

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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