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get_record

Read-only

View the full detail of one submission record (lead) in the current team by its record id (the id field returned by list_records), including the examinee, the submitted answers, UTM metadata and the complete frozen report result (overall / dimensions / outcome / AI evaluation). Answers are returned as the respondent wrote them, except that any email address or phone number inside them comes back masked.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recordIdYesThe record id (the `id` returned by list_records)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoRecord id — address a submission by this
dataNoThe submitted answers keyed by question code, as typed by the respondent — with any email address or phone number inside them masked
formIdNoThe quiz this submission belongs to
examineeNoThe respondent { id, examineeId, email, name, customData }, PII masked
metadataNoChannel attribution { utmSource, utmMedium, utmCampaign, utmTerm, utmContent, referrer }
reportUrlNoPublic report page URL for this submission
updatedAtNoISO datetime of the last change
shareTokenNoToken that makes this single report page shareable
submittedAtNoISO datetime of submission
reportResultNoThe complete frozen report { status, overallAnalysis, dimensionAnalysis, outcome, aiEvaluation, aiSuggestion }
serialNumberNoPer-form sequence number of the submission

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already state readOnlyHint=true and destructiveHint=false, so this is clearly a safe read operation. The description adds useful behavioral nuance beyond those hints: the report result is 'frozen', and email addresses or phone numbers in answers are masked on return. This gives the agent realistic expectations about data fidelity without needing to call the tool.

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

Conciseness5/5

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

Two sentences, front-loaded with the primary purpose and resource, followed by a useful enumeration of contents and the key masking behavior. Every clause contributes actionable information, and there is no redundant filler.

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?

Given a one-parameter schema, an existing output schema, and annotations covering safety, the description is complete. It explains how the id is obtained, scopes the record to the current team, lists the key subcomponents, and reveals the masking behavior an agent needs to set expectations before invoking.

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?

The input schema fully documents recordId and even restates the provenance from list_records. The description largely repeats that same provenance. Since schema_description_coverage is 100%, the baseline is 3; the description does not add much parameter meaning beyond tying the operation to the current team.

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 opens with a specific verb and resource ('View the full detail of one submission record') and then enumerates the included contents: examinee, answers, UTM metadata, and the frozen report result. This scope is clear enough to distinguish get_record from list_records (one record vs. lists) and from get_form or get_lead, even without naming them as alternatives.

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

Usage Guidelines4/5

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

The description gives clear context: use this when you need the complete detail of a single record in the current team, and it explicitly ties the required parameter to the id returned by list_records. It does not name explicit alternatives or when-not-to-use conditions, so it stops short of a 5, but the usage context is unambiguous.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools map to a distinct resource and action, and the descriptions actively disambiguate similar operations (e.g., get_form vs get_form_share_info vs get_form_stats). The main potential confusion is between list_records and list_leads and between get_record and get_lead, since both describe leads from slightly different angles.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun convention, with resources like form, question, lead, booking, examinee, translation, and tenant parallel across actions. The few non-CRUD verbs like prepare_/finalize_, duplicate_, and reschedule_ still fit the same uniform pattern.

Tool Count2/5

48 tools is well beyond the 3–15 ideal and even past the 25+ threshold, making the tool surface heavy for an agent to navigate. The broad platform scope explains some of the size, but the count still risks overwhelming context and increasing misselection.

Completeness4/5

The server covers form lifecycle, question editing, translations, CRM leads, examinees, records, bookings, team/tenant operations, image uploads, templates, and analytics extremely well. Minor gaps remain—such as no lead/record deletion, no member removal or role updates, and limited booking-settings management—but most workflows can be completed with the existing tools.

Resources