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aiworkhub_manager_workforce_upsert

Create or update a repository worker model with audited, bounded settings, including provider, model, supported tools, risk limits, and context size.

Instructions

MANAGER WRITE: audited bounded upsert of one repository worker model.

Input Schema

NameRequiredDescriptionDefault
modelYes
toolsNo
enabledNo
max_riskNomedium
providerYes
supportsYes
worker_idYes
adapter_idYes
quality_ceilingNo
max_context_tokensNo
manager_score_adjustmentNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. 'Audited bounded' hints that the operation is logged and scope-constrained, which is genuine added context, but it never explains conflict/semantics of the upsert, required permissions, whether partial updates are allowed, or what the response contains.

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?

A single front-loaded sentence with the operation class first and zero filler. It is efficient, though the extreme terseness borders on under-specification for an 11-parameter mutation.

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

Completeness1/5

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

For a write tool with 11 undocumented parameters, no annotations, and no sibling routing, this description is far too thin. Although an output schema exists (so return values needn't be explained), the input side and usage conditions are almost entirely unaddressed.

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

Parameters1/5

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

Schema description coverage is 0% across 11 parameters, and the description adds nothing about any of them. Terms like 'worker model' are too vague to convey the meaning of worker_id, adapter_id, supports, max_risk, or quality_ceiling, leaving all parameters undocumented.

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 (upsert) and resource (one repository worker model), with a 'MANAGER WRITE' prefix that signals the operation class. It implicitly distinguishes itself from read-only siblings like workforce_catalog and workforce_rank, though it never names them explicitly.

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?

No when-to-use, when-not-to-use, prerequisites, or named alternatives are given. The 'upsert' verb hints that it handles both create and update, but the agent gets no condition telling it when this is the right tool versus workforce_catalog or workforce_rank.

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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