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freehire

Read screening answers

screening_answers_get
Read-only

Read the person's answers to the six screening questions that repeat across application forms: countries they may work in, visa sponsorship, desired salary, notice period, relocation, and being 18 or older — plus privacy_consent, whether they agree to an employer's privacy / personal-data terms being accepted for them on every application. A missing field has not been stated.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
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 genuinely new behavioral context — the exact field set returned and the rule that "a missing field has not been stated" (absent vs. negative answer) — which is useful. It says nothing about scope (which person/profile is resolved), error behavior, or the openWorldHint / non-idempotent hints, so it is good but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded, but the single sentence is very long and its dash-and-parenthetical construction for privacy_consent is hard to parse — it reads like a field list jammed into prose. A two-sentence split (what is returned, then the missing-field rule) would carry the same content more cleanly.

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?

With no output schema, the description must explain return values and it largely does by enumerating the returned fields and covering the absent-value convention. Minor gaps remain: value formats (e.g. salary units/currency, notice-period encoding) and what happens if the person has no stored answers at all are not addressed.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The description correctly implies the subject is resolved implicitly rather than passed in, which matches the empty 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?

States a specific verb ("Read") and resource ("the person's answers to the six screening questions") and then enumerates exactly which fields are returned — countries, visa sponsorship, salary, notice period, relocation, age, privacy_consent. This distinguishes it unambiguously from screening_answers_set without the agent needing to inspect either schema.

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?

Usage is only implied: it is clearly the read counterpart of screening_answers_set, and the agent can infer it should be called before applying or to check whether answers exist. There is no explicit statement of when to call this versus answer_bank_list, or any prerequisite such as needing a selected profile.

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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