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watch_project

Add a project to your pipeline (or update its stage). Stages: interested, diligence, intro_requested, passed, invested. Optional notes are appended to the watch's note log. (requires API key)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesProject slug
notesNoOptional note to append (max 4000 chars)
stageNointerested

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description must tell the agent about side effects. It mentions note appending and stage setting, but does not disclose whether updates overwrite or merge, or if the operation is idempotent.

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 concise sentences that front-load the core action, enumeration, and a caveat (API key). No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of an output schema, the description should hint at the return value (e.g., what is returned after adding/updating). It does not, leaving the agent to guess the response format.

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

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds context to the schema: it lists all stages, clarifies that notes are appended to a log, and implies default stage. Schema coverage is 67%, and the description compensates with valuable additions.

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 tool's purpose: 'Add a project to your pipeline (or update its stage)', with explicit enumeration of valid stages. This differentiates it from siblings like get_project and list_watches, though not explicitly from update_watch.

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

Usage Guidelines3/5

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

The description provides context for usage (addition or update of pipeline projects) and a prerequisite (API key), but does not explicitly state when not to use it or compare it to alternatives like update_watch.

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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