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prismhr-mcp

meta_call

Validate and execute PrismHR methods by method ID with schema-checked arguments, returning structured responses including ok, error, and warning statuses.

Instructions

Generic, schema-validated invocation of any PrismHR method in the catalog.

Pre-flight: checks the method_id, refuses admin services, validates required query + header + body fields against the bundled bible schemas. Only after validation passes does the request hit PrismHR.

Every call returns a structured PrismHRCallResponse — ok | prismhr_error | validation_error | admin_blocked | unverified_warning. The unverified_warning status is attached when the call succeeds but the response shape has not been verified by the maintainer's probe pass; treat the body as best-effort.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
method_idYesCatalog method id, e.g. 'payroll.v1.getBatchListByDate.GET'. Find valid ids via meta_capabilities or meta_find.
argsYesArguments. Query/header parameters are top-level keys; POST body fields go under a nested 'body' key. Consult meta_describe(method_id) for the exact shape.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
method_idYes
statusYes
http_statusNo
prismhr_error_codeNo
prismhr_error_messageNo
bodyNo
noteNo
Behavior5/5

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

No annotations provided, but description fully covers behavior: validation steps, refusal of admin services, and detailed response statuses including unverified_warning. This is comprehensive for a generic invocation tool.

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 paragraphs with clear structure: purpose, validation steps, response details. Front-loaded with core purpose. Slightly verbose but each sentence adds necessary detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Comprehensive for a complex generic tool: covers validation, admin blocking, response shape, and unverified_warning semantics. References sibling tools for method discovery. Output schema existence reduces need to describe return fields.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but description adds value by explaining how to find valid method_ids (via meta_capabilities or meta_find) and how to structure args (top-level vs nested body key). Provides guidance beyond the schema.

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?

Clearly states it is a generic, schema-validated invocation of any PrismHR method. Distinguishes from sibling tools like meta_describe or meta_capabilities by focusing on execution rather than metadata retrieval.

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?

Implies usage for calling any PrismHR method after validation, but does not explicitly specify when to use this over specific domain tools (e.g., payroll_batch_status). No 'when not to use' or alternative guidance.

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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