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mcp-server-productive

by borgels

Search capabilities

productive_search_capabilities
Read-only

Find the right Productive resource, tool, or guide for any subject. Returns matching items and the operations each supports, eliminating guesswork from Productive's unique naming.

Instructions

Find the right resource, tool or guide for a subject. Start here: Productive names its resources its own way (a budget is a deal, a person is a person, a board column is a workflow_status), and guessing wastes calls. Returns matching tools, workflow guides, and resources with the operations each supports.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYesSubject to search for, e.g. "invoice", "capacity", "custom field", "time".
Behavior4/5

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

With readOnlyHint=true already in annotations, the description adds useful behavioral context: it returns matching tools, workflow guides, and resources along with the operations they support. It also discloses the important quirk that resource names may not match user expectations. No contradiction with annotations.

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?

Three sentences, front-loaded with the core purpose, and every sentence adds value: what it finds, where to start, and what it returns. The naming examples are illustrative without being verbose.

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

Completeness4/5

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

For a read-only search tool with only two parameters and no output schema, the description covers purpose, scoping context, and return categories well. It does not detail result shape or empty-result behavior, but those are not critical for selecting and invoking this tool correctly.

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

Parameters3/5

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

The description reinforces that 'query' is a subject to search for, but the schema already covers that with examples. The 'limit' parameter is not described in the description, and with only 50% schema description coverage, the description does not fully compensate. The parameter is simple enough that the gap is moderate rather than severe.

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 states a specific verb ('Find') and resource ('resource, tool or guide for a subject') and clearly distinguishes this as the starting point for discovery. It explains the tool's role relative to siblings by highlighting Productive's naming conventions, so an agent knows this is a search/capability lookup, not a data 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?

'Start here' explicitly tells the agent when to use this tool, and the mention of Productive's non-obvious naming ('a budget is a deal') explains why guessing would waste calls. It does not name alternative sibling tools or state when not to use it, but the contextual guidance is clear enough.

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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