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mcp-server-productive

by borgels

Run a named action

productive_run_action

Run Productive actions like archive, approve, or send on single records or bulk-filtered sets, with explicit filters required for bulk operations.

Instructions

Run one of Productive's named verbs: archive, restore, close, open, approve, reject, copy, finalize, send, reposition and the rest. Actions named bulk_* act on every record the filter matches rather than one, and refuse to run without an explicit filter. productive_describe_resource lists the actions a resource has.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoRequired for actions that act on one record.
actionYesAction name, e.g. "archive", "approve", "send".
filtersNoServer-side filters. A bare value means equality: {"assignee_id":"5"}. An array is comma-joined: {"id":["1","2"]}. An operator object narrows further: {"created_at":{"gt":"2026-01-01"}} — the ONLY operators Productive accepts are contains, eq, gt, lt, not_contain, not_eq. There is no gte/lte, so for an inclusive date range use the resource's own after/before filter fields instead. Logical groups nest: {"$op":"and","0":{"assignee_id":{"eq":"5"}},"1":{"company_id":{"eq":"7"}}}. Field names are validated against the resource — call productive_describe_resource for the list.
resourceYes
attributesNoAttributes to write, by their Productive names. Validated against the resource contract first, because Productive answers 200 and ignores an unknown attribute rather than reporting it. Custom-field values go in a nested `custom_fields` object keyed by field id.
Behavior4/5

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

Annotations only provide readOnlyHint=false, so the description carries the behavioral burden. It discloses two non-obvious behaviors: bulk_* actions operate on every record the filter matches, and they refuse to run without an explicit filter. The schema also surfaces that Productive answers 200 and silently ignores unknown attributes, adding important behavioral context beyond the annotation.

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 three sentences with no filler. It front-loads the core purpose, then immediately covers the most dangerous edge cases (bulk scope and filter requirement), and ends with a useful discovery pointer. Every sentence earns its place.

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 complex 5-parameter tool with nested filter objects and no output schema, the description and schema together cover the essential invocation details: valid action classes, bulk semantics, filter requirements, field validation, and discovery via productive_describe_resource. The only notable gap is the lack of any mention of what the response looks like or error behavior beyond the silent-attribute-ignore note, which is a minor omission for an action-triggering tool.

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?

Schema description coverage is roughly 80%, and the schema already provides rich semantics for filters, attributes, and id. The description adds the bulk-vs-single distinction and the explicit-filter requirement, which complements the filters parameter. Given this high schema coverage, the baseline of 3 is appropriate; the description does not need to re-document each parameter.

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 names a specific verb ('Run') and a clear resource class ('one of Productive's named verbs'), then lists concrete examples: archive, restore, close, open, approve, reject, copy, finalize, send, reposition. It also distinguishes single-record actions from bulk_* actions, so the tool's purpose is unmistakable and well differentiated from the sibling CRUD tools.

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?

The description clearly states that bulk_* actions require an explicit filter and calls out productive_describe_resource as the way to discover which actions a resource supports. It does not, however, give explicit when-not-to-use guidance against siblings like productive_update or productive_delete, so it falls short of a 5.

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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