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submit_expertise_analysis

Provide analyzed voice study and expertise map to proceed to expert theme confirmation.

Instructions

Submit the analyzed voice study and expertise map to proceed to theme confirmation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userIdNoOptional user identifier.
voiceStudyYesJSON string of the voice study
expertTopicsYesJSON string of the expertise topics
termsAcceptedNoOptional if already accepted at basic info. The expert must have accepted the Fodda Terms of Service (https://www.fodda.ai/terms) and Privacy Policy (https://www.fodda.ai/privacy).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.3.3

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already disclose the mutation profile (readOnlyHint=false, idempotentHint=false, destructiveHint=false), so the description needn't restate safety. It adds only the workflow sequencing context (advances to theme confirmation) and says nothing about what happens to prior analysis, whether submission can be retried, or validation behavior.

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?

A single front-loaded sentence with no filler; the action and the next stage are stated immediately. It is efficient, though slightly terse for a workflow-step tool.

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?

With a fully covered schema and annotations carrying the safety profile, the description only needed to convey workflow placement, which it does. It remains thin on preconditions and the consequence of submission, leaving the agent to infer the surrounding onboarding sequence.

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 all four parameters (userId, voiceStudy, expertTopics, termsAccepted) are already documented by the schema. The description adds no parameter-level detail beyond what the structured field already provides, making the baseline of 3 appropriate.

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 (submit) and resource (analyzed voice study and expertise map) and ties it to the next workflow stage (theme confirmation). It distinguishes itself reasonably from siblings like submit_basic_info by naming the specific artifacts, though it doesn't explicitly differentiate against the other submit_* onboarding tools.

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?

"To proceed to theme confirmation" implies this is a sequential onboarding step, which gives some usage context. However there is no explicit when-to-use-vs-alternative guidance or stated prerequisites (e.g., that basic info must be submitted first, or that confirm_themes follows).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.