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Search Jobs Tool

search-jobs
Read-only

Searches the authenticated workspace jobs using safe summary fields only; it does not return service addresses, notes, or amounts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of jobs to return.
queryNoCustomer name, email, phone, or job title.
statusNoOptional job status filter.
customer_idNoRestrict results to one customer ID.
location_idNoRestrict results to one business location ID.
scheduled_toNoInclusive scheduled date, YYYY-MM-DD.
scheduled_fromNoInclusive scheduled date, YYYY-MM-DD.

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context beyond annotations: it scopes results to the authenticated workspace, limits data to safe summary fields, and explicitly lists excluded fields. This is meaningful disclosure not present in the structured data.

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 a single sentence with no filler. It front-loads the core purpose, then adds the key scoping constraint ('safe summary fields only') and a concrete exclusion list. Every phrase 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 read-only search tool with seven optional parameters fully documented in the schema, the description covers purpose, auth scope, and return-data boundaries. It does not enumerate the exact safe summary fields or describe pagination/ordering, but the exclusions and annotations provide enough context for an agent to select and invoke the 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?

Schema description coverage is 100%, so the input schema already documents all seven parameters with their meanings and constraints. The description does not add parameter-specific detail, but that is unnecessary here; a baseline of 3 is appropriate because the schema carries the semantic load.

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 action ('Searches the authenticated workspace jobs') and a precise resource, and it differentiates the tool from job-detail siblings by explicitly noting it returns only safe summary fields and excludes service addresses, notes, and amounts. This makes the tool's scope immediately understandable without opening the schema.

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?

The description gives no explicit guidance on when to use this tool versus alternatives such as get-job or jobs-today. Although the exclusion of addresses, notes, and amounts implies it is not for full detail retrieval, there is no stated preference, prerequisite, or alternative routing.

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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TDQS

A3.6/5.0
Disambiguation4/5

Tool families are organized by resource and action (get/search/preview/reports), so most tools have a distinct purpose. A few near-overlaps exist—customer-service-requests vs search-service-requests and the many campaign preview/search tools—but descriptions generally clarify boundaries.

Naming Consistency4/5

The set consistently uses kebab-case with recognizable prefixes like get-, search-, preview-, and reports-, making intent predictable. A few noun-phrase tools (complaint-recall-risk, customer-service-requests, operations-parts, jobs-today) break the verb-first pattern, but they remain readable and grouped.

Tool Count2/5

45 tools is well beyond the 25+ threshold and creates a large surface for agents to navigate, even though the domain is broad. Many tools are narrow read-only variations (e.g., five preview-campaign tools, three reports-* tools), which inflates the count without adding fundamentally new capabilities.

Completeness4/5

As a read-only/insights server, the surface covers customers, jobs, quotes, invoices, leads, locations, service requests, reviews, campaigns, operations, and reporting with both search and detail access. Minor gaps exist—no get-* for campaign types or social drafts—but these align with the intentionally bounded, safe-read model.

Resources