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ServiceMonster MCP by usefulapi

List jobs

servicemonster_list_jobs
Read-only

Jobs with account/order/route IDs, estimated times and status. GET /v1/jobs; returns one page, not all matching records.

Input Schema

NameRequiredDescriptionDefault
limitNoRecords per page (default25, maximum100 here).
fieldsNoOptional comma-separated field names to return.
wFieldNoOne documented field to filter, e.g. accountName or balanceDue. Requires wValue.
wValueNoFilter value; provide together with wField.
pageIndexNoZero-based page index (default0); advance it to retrieve more records.
wOperatorNoComparison; omit for equality. 'like' matches a substring.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so safety is covered. The description adds genuinely useful context beyond that: the underlying endpoint (GET /v1/jobs) and the important caveat that a call returns one page rather than all matching records, which changes how an agent must loop with pageIndex.

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?

Two short sentences, front-loaded with what is returned and followed by the paging caveat – no filler. The first sentence is a noun fragment rather than a clause, which makes it slightly less scannable than it could be.

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?

For a 6-parameter list tool with no output schema, the definition covers returned fields and the paging constraint but leaves open how to retrieve a full result set and how filters combine. The rich schema compensates substantially, keeping this at minimum-viable rather than inadequate.

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 every parameter (limit, fields, wField/wValue, pageIndex, wOperator) is already documented with defaults and constraints. The description adds no parameter-level detail such as filter syntax or default page size, so baseline 3 applies.

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 names the resource (jobs) and the fields returned (account/order/route IDs, estimated times, status), so the agent knows exactly what comes back. It stops short of distinguishing this from siblings like list_order_jobs or list_job_timelogs, which list subsets of the same records.

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?

There is no guidance on when to use this versus alternatives such as list_order_jobs (jobs for one order) or get_job (single record). The only usage-adjacent statement is the pagination caveat, which is about mechanics rather than tool selection.

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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