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NeverApply

Save your answer

save_answer
DestructiveIdempotent

Save an exact member-stated fact, confirm one reviewed suggestion, or delete one explicitly selected fact. Never compose or infer identity facts or date of birth. Protected demographic answers stay in the encrypted web vault. Residence, citizenships, work statuses and salary use update_profile. Read get_profile first; do not confirm unseen suggestions or delete unrequested facts.

Input Schema

NameRequiredDescriptionDefault
keyNo
valueNo
actionYes
fact_idNoOne owned fact returned by get_profile; required for confirm or delete.
canonical_paramsNoOptional fact scope: country, technology, currency, period or employer. Use a country for work authorization.

Output Schema

NameRequiredDescriptionDefault
factYes
actionYes
deleted_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / key / enum
      Previous value: -[
      -  "notice_period",
      -  "work_authorization",
      -  "nationality",
      -  "timezone_flexibility",
      -  "relocation_willingness",
      -  "open_source_summary",
      -  "driving_license",
      -  "visa_sponsorship_needed",
      -  "security_clearance",
      -  "earliest_start_date",
      -  "street_address",
      -  "date_of_birth",
      -  "gpa",
      -  "references",
      -  "licenses_certifications",
      -  "remote_equipment",
      -  "work_schedule",
      -  "whatsapp_number",
      -  "legal_working_age",
      -  "restrictive_covenant"
      -]New value: +[
      +  "notice_period",
      +  "timezone_flexibility",
      +  "relocation_willingness",
      +  "open_source_summary",
      +  "driving_license",
      +  "security_clearance",
      +  "earliest_start_date",
      +  "date_of_birth",
      +  "gpa",
      +  "references",
      +  "licenses_certifications",
      +  "remote_equipment",
      +  "work_schedule",
      +  "whatsapp_number",
      +  "legal_working_age",
      +  "restrictive_covenant"
      +]
  2. Changed1 schema field changed
    • changedOutput schema / properties / fact / properties / source / description
      Previous value: -"user = typed/confirmed by the person; mined = AI suggestion; answer = promoted from a screening answer they gave; memory = AI suggestion drawn from their chat with Otto."New value: +"user = typed/confirmed by the person; mined = AI suggestion; answer = promoted from a screening answer they gave; memory = AI suggestion drawn from their chat with the NeverApply assistant."
  3. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, idempotentHint=true and openWorldHint=false/true context, so the safety profile is partly covered. The description adds genuinely non-structured context: protected demographic answers are kept in the encrypted web vault rather than here, and confirm/delete require facts previously seen via get_profile. It does not spell out whether delete is reversible or what a successful save returns, which the output schema presumably covers.

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?

The allowed action and resource come first, followed by prohibitions and routing, so it is well front-loaded with no filler sentences. It is somewhat dense and telegraphic, packing several rules into single clauses, but every sentence carries an operative constraint.

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?

For a destructive, three-action mutation tool with an output schema and rich annotations, the description covers the workflow (read first, then save/confirm/delete), the scope boundary with update_profile, and the hard prohibitions on inferring sensitive facts. Nothing essential to invoking it safely is missing.

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 only 40% across five parameters, so description needs to compensate but only partly does. It clarifies the operational meaning of fact_id (an owned fact from get_profile, needed for confirm/delete) and constrains which keys belong here versus update_profile, but canonical_params and the value/key semantics for save are left entirely to the schema including its enum.

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?

The description names three specific operations (save an exact member-stated fact, confirm one reviewed suggestion, delete one explicitly selected fact) against a named resource, and explicitly separates its scope from the sibling update_profile for residence, citizenships, work statuses and salary. An agent can distinguish it from every other sibling without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives explicit routing rules: use update_profile for residence/citizenship/work status/salary, read get_profile first, never compose or infer identity facts or date of birth, and do not confirm unseen suggestions or delete unrequested facts. Both when-to-use and when-not-to-use are stated, along with the alternative tool.

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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