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add_lead_comment

Write an internal follow-up note on a lead of the current team (visible to team members only, never to the respondent). Max 2000 characters. Optionally attach the record id of the submission the note is about, as context. Read existing notes with get_lead(includeComments: true). Not idempotent: if the call times out it may still have succeeded, so retrying blindly can create a duplicate — check first, then retry only if it is really missing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesThe note text
leadIdYesThe lead id (the leadId returned by list_leads)
recordIdNoOptional record id this note is about (as returned by get_lead records / list_records)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoThe note text as stored
leadIdNoThe lead it was written on
commentIdNoThe created note
createdAtNoISO datetime

TDQS

A4.9/5.0
Behavior5/5

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

The annotations only say readOnlyHint=false and destructiveHint=false, which is minimal. The description adds valuable behavioral context: notes are visible to team members only, never to the respondent, max length is 2000 characters, and the operation is not idempotent — a timeout may still mean success, so blind retries can create duplicates. This goes well beyond the 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?

The description is efficiently structured: purpose and visibility first, then constraint, optional parameter context, read alternative, and idempotency warning. Every sentence adds information and no space is wasted.

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 write tool with an output schema, the description covers all necessary context: what the operation does, visibility rules, constraints, how to read existing notes, and the retry hazard. The agent has enough information to correctly invoke the tool and handle unusual outcomes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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. The description adds extra nuance by explaining that recordId is optional 'context' about the submission, which clarifies its role more practically than the schema's phrasing. It also reinforces the body length limit in line with the schema's maxLength.

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 clearly identifies the action ('Write an internal follow-up note on a lead') and the resource ('lead of the current team'), while distinguishing it from sibling tools like update_lead or add_question by specifying it is an internal, team-only comment. The purpose is immediately evident and unambiguous.

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?

The description explicitly states when to use the tool and points to an alternative for related behavior: 'Read existing notes with get_lead(includeComments: true).' It also gives important retry guidance by warning about the non-idempotent timeout behavior and how to handle it, leaving no ambiguity about when or how to retry.

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