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PaySpace MCP by usefulapi

List jobs

payspace_list_jobs
Read-onlyIdempotent

List the jobs defined in job management for a company. GET /odata/v2.0/{company}/JobManagement.

Input Schema

NameRequiredDescriptionDefault
topNoPage size ($top, default and maximum 100).
skipNoRecords to skip ($skip), for paging: page 2 of size 100 is skip=100.
countNoInclude the total number of matching records as @odata.count.
filterNoOData $filter, for example `EmployeeNumber eq 'E001'` or `contains(LastName,'Smith')`. Field names: see the vendor docs for the entity.
orderbyNoOData $orderby, for example `LastName asc`.
company_idNoPaySpace company id or company code. Optional when the credentials give access to exactly one company; call payspace_list_companies to see them.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is covered. The description adds nothing beyond the endpoint path: no note on paging defaults, result-set size, or entity fields. For a paged OData list, that is thin.

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 front-loaded sentences with zero filler; the verb and scope come first and the endpoint second. Nothing needs trimming, though the endpoint sentence is only marginally value-adding.

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?

With 0 required parameters, full schema docs and complete read-only annotations, most of an agent's needs are met. But the description never says what a 'job' record contains or how it differs from organization positions, and gives no output-shape hint in the absence of an output schema.

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%: top/skip/count/filter/orderby/company_id are each documented in the schema with examples and limits. The description contributes no additional parameter meaning, so the 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?

States a specific verb and resource ('List the jobs defined in job management for a company') and even names the backing endpoint. It is distinguishable from most siblings, though the boundary with payspace_list_organization_positions (jobs vs. positions) is never clarified.

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 when-to-use / when-not-to-use guidance and never names an alternative among the many list_* siblings. The only routing hint in the definition (call payspace_list_companies for company ids) lives in the schema, not the description.

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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