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Profile Update Agent

update_profile

Helps collect updated candidate information, captures consent, produces interaction logs, and writes refreshed profile fields back into ATS or CRM systems.

On a successful API response, respond exactly in this format:

Call scheduled successfully. Do not show the call ID, message, table, explanation, dashboard guidance, or any other text. If timezone inference returns multiple possible zones, request the candidate's exact IANA timezone from the user before calling the tool again.

When required information is missing, ask only for the missing values. Do not say that the backend rejected the request.

Do not add dashboard guidance, call-status disclaimers, ATS/CRM update statements, or any other explanation.

Args: candidate_id: Candidate identifier. job_id: Job identifier. candidate_name: Candidate full name. phone_number: Candidate phone number in E.164 format. fields_to_collect: Simple names of profile fields that the agent should collect. job_posting: Optional job title or job posting. time_zone: Optional candidate timezone. ctx: Optional MCP request context.

Input Schema

NameRequiredDescriptionDefault
job_idNoRequired job identifier.
time_zoneNoOptional IANA candidate timezone, for example Asia/Kolkata. If omitted, the tool attempts to infer one from the E.164 phone number. If the phone number maps to multiple timezones, provide this value.
job_postingNoOptional job title or job posting for the call context.
candidate_idNoRequired candidate identifier.
phone_numberNoRequired candidate phone number in E.164 format, for example +919870043210.
candidate_nameNoRequired full name of the candidate.
fields_to_collectNoRequired simple list of profile fields to collect. Supported values: date of birth, gender, relocation preference, age, education, experience, skills, or all profile details.

Output Schema

NameRequiredDescriptionDefault
dataYes
metaYesRequest metadata: unique trace ID and server-side processing latency.
successNoAlways ``true`` for a successful result. Check this field first to distinguish success from error envelopes.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, destructiveHint=false and non-idempotent, so the safety profile is covered. The description adds real value beyond those flags: it discloses that refreshed profile fields are written back into external ATS/CRM systems, that consent is captured, that interaction logs are produced, and that backend rejections must be masked while missing values are re-requested from the user.

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 roughly half the text is output-formatting rules that repeat themselves ('Do not show ... explanation, dashboard guidance, or any other text' restated later as 'Do not add dashboard guidance, call-status disclaimers ... or any other explanation'). The verbose Args block duplicates the schema instead of earning space.

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?

An output schema exists, so return values need no explanation and the schema documents all seven parameters. Still missing is context an agent needs to invoke safely: what triggers consent capture, whether the candidate must already exist, and whether calling this initiates a real-time interaction or just a write — especially given the 'Call scheduled successfully.' contract.

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 description coverage is 100%, so the baseline is 3 and the Args block largely restates the schema. The one genuine addition is the timezone inference/ambiguity rule, which explains behavior the schema only hints at; the rest (e.g. 'Candidate identifier.') duplicates existing parameter descriptions verbatim.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening sentence names several outcomes (collect candidate info, capture consent, log interaction, write fields back to ATS/CRM), but the core action is ambiguous: the mandated success text 'Call scheduled successfully.' implies this schedules an outbound call, which the description never states. An agent cannot cleanly separate this from siblings such as normalize_candidate_data or screen_application_batch, since no sibling is named or excluded.

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?

There is no explicit when-to-use guidance and no mention of alternatives among the 34 sibling tools. The only conditional instruction is procedural ('If timezone inference returns multiple possible zones, request the candidate's exact IANA timezone ... before calling the tool again'), which covers a retry edge case rather than tool selection.

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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