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Get Respondent

get_respondent
Read-onlyIdempotent

Returns a contact of a survey's contact list by PersonalizedID: name, email, language, custom fields, completion state and the contact's personal survey link. surveyLink is the contact's PERSONAL survey link — responses through it are attributed to this contact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesSurvey publication code — the 8-character code from the survey's public link (e.g. 1a2b3c4d). Returned by list_surveys.
personalizedIDYesThe respondent's PersonalizedID: the value supplied when the respondent/response was created, or the system-generated identifier if none was supplied.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoEmail address.
fieldsNoCustom field values of the contact list as name/value pairs.
languageNoThe contact's language, e.g. en, de, ru.
lastNameNoLast name.
completedNoWhether the contact has completed the survey.
firstNameNoFirst name.
surveyLinkNoThe contact's personal survey link; responses through it are attributed to this contact.
personalizedIDNoThe contact's PersonalizedID: the value supplied on creation, or the system-generated identifier.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), so the bar is lower. The description adds genuine non-obvious context: that surveyLink is the contact's PERSONAL link and that responses through it are attributed to this contact — useful semantics not available in the schema or annotations.

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 dense sentences with zero filler; the returned fields and the personal-link caveat are front-loaded and every clause earns its place.

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 an output schema present and full annotation coverage, the description needn't explain return values, yet it still clarifies the notable surveyLink semantics. It is fully adequate for a 2-param read tool; only the absence of usage routing keeps it from a 5.

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 both parameters are fully documented with examples and sourcing (code from list_surveys, PersonalizedID origin). The description only echoes 'by PersonalizedID' and adds no format or edge-case detail beyond the schema, so the 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?

States a specific verb and resource ('Returns a contact of a survey's contact list by PersonalizedID') and enumerates the returned fields. The singular 'contact' lookup is clearly distinguishable from get_survey_response and list_survey_responses, though no sibling is named explicitly.

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?

The description never says when to use this tool versus alternatives like get_survey_response, list_survey_responses, or create_respondent. It reads as a pure output description with no usage or exclusion guidance.

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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