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How to hire staff

how_to_hire
Read-only

Advice for a small UK business owner who needs staff (café, pub, restaurant, bar, shop, salon): how to find people through those who already know the business, what to pay, the UK rules to follow, and what Instead costs.

Input Schema

NameRequiredDescriptionDefault
areaNoWhere the business is, like Hackney
roleNoThe job, like barista, chef or Christmas temp

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds genuine value by enumerating the advice topics (sourcing via people who know the business, pay, UK rules, Instead costs), but says nothing about how the response is shaped or whether the advice is personalized.

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?

One sentence, front-loaded with the target user and then the content areas. No filler, though the parenthetical sector list is slightly longer than needed for disambiguation.

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 read-only advice tool with two optional params and no output schema, the definition covers what topics come back but not how area/role influence the answer or what form the guidance takes. Adequate, but an agent has to guess at the effect of its inputs.

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 coverage is 100%, so both optional parameters (area, role) are already documented with examples in the schema. The description neither names nor explains them, and does not indicate whether supplying area or role tailors the guidance — 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 clearly frames the resource: hiring guidance for small UK business owners, scoped to specific sectors (café, pub, restaurant, bar, shop, salon) and four content areas. It does not differentiate itself from siblings, notably pay_rates, which overlaps with its 'what to pay' coverage, and post_job/search_jobs.

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?

The audience condition ('a small UK business owner who needs staff') implies when to call, but there are no exclusions or named alternatives — an agent cannot tell whether to use this or pay_rates for a pay question, or this vs. make_hiring_poster before posting.

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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