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JobNimbus MCP by usefulapi

List or search tasks

jobnimbus_list_tasks
Read-only

List tasks and appointments, optionally for one contact or job (related_id) or filtered, e.g. open ones: {"must":[{"term":{"is_completed":false}}]}. Returns {count, results}. JobNimbus: GET /tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fromNoZero-based offset for pagination (default 0). Next page: from + size.
sizeNoRecords per page, 1-1000. Defaults to 25 here (the API's own default is 1000).
filterNoElasticSearch-style bool query object, sent as the `filter` parameter. Examples: {"must":[{"term":{"first_name":"john"}}]}; {"must":[{"range":{"date_updated":{"gte":"now-1d"}}}]}; {"must":[{"terms":{"jnid":["a","b"]}}]}; {"must":[{"term":{"record_type_name":"Customer"}}]}.
related_idNoOnly records related to this contact or job jnid (adds a related.id term to the filter).
sort_fieldNoField to sort by (API default date_created), e.g. date_updated.
sort_directionNoSort direction (API default desc).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With readOnlyHint=true already covering the safety profile, the description still adds value by disclosing the return envelope ({count, results}) and the underlying endpoint (GET /tasks). It stops short of describing pagination or ordering behavior, though those are documented in the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short, front-loaded sentences with zero padding: purpose, filtering options, then return shape and endpoint. The inline JSON example is compact and earns its place, though the sentence is somewhat dense.

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 six-parameter, no-required-argument list tool with no output schema, the description covers purpose, filtering, and return shape adequately. Remaining details such as sort defaults and page semantics are fully carried by the schema, so nothing critical is missing.

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 100%, so all six parameters are already documented in the schema, which sets the baseline at 3. The description's filter example (is_completed:false) is a marginal addition over the schema's own examples, but it largely restates what the structured field already explains.

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

Purpose4/5

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

The description states a specific verb and resource ("List tasks and appointments") and clarifies the scope of what can be listed. It doesn't distinguish itself from the nearest sibling concerns, such as jobnimbus_get_task for a single task or jobnimbus_list_activities, which could plausibly overlap with "appointments."

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?

It gives concrete usage context by naming the two filtering paths (related_id for a contact/job, or an ElasticSearch-style filter) and even shows a worked example for open tasks. However, it never says when to prefer this tool over jobnimbus_get_task or jobnimbus_list_activities, so the guidance is implied rather than explicit.

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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