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pghdma

CallRail MCP

form_stats

Get total form submissions over a specified date range or lookback period. Returns count of forms submitted to your CallRail account.

Instructions

Server-side form-submission totals via /forms/summary.json.

Args: days: Lookback (default 30). Ignored if start_date given. start_date / end_date: 'YYYY-MM-DD'. Explicit dates win. company_id: Filter to one company. account_id: Auto-resolves if omitted.

Returns: JSON string with start_date, end_date, time_zone, and total_results (e.g. {"total_forms": N}).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
end_dateNo
account_idNo
company_idNo
start_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the full burden. It reveals the underlying API endpoint, explains parameter interactions (explicit dates override 'days'), and describes the return format including 'time_zone'. It does not mention authorization or rate limits, but for a read-only aggregation tool this is reasonable.

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 extremely concise: a single line for the purpose followed by a bullet-like list of parameters and return format. Every sentence adds value, and the key endpoint is front-loaded. No unnecessary words.

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?

Given the simplicity of the tool (5 optional parameters, no output schema provided), the description covers essential behavioral and return details. It explains parameter logic, return fields, and filtering. A minor gap is the lack of explanation on how time_zone is determined, but overall sufficient.

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

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must add meaning to each parameter. It does: 'days' (default 30, ignored if start_date given), 'start_date'/'end_date' (YYYY-MM-DD, explicit overrides), 'company_id' (filter), 'account_id' (auto-resolves). This fully compensates for the missing schema descriptions.

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 states 'Server-side form-submission totals', indicating it returns aggregate counts. The return format with 'total_results' like '{"total_forms": N}' specifies exactly what the tool computes, distinguishing it from sibling tools like list_form_submissions (which return individual submissions) and get_form_submission (one submission).

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?

The description explains the parameters but does not explicitly say when to use this tool over alternatives. The return type implies it's for aggregate summaries, but there is no direct comparison to list_form_submissions or other tools for similar purposes. Usage is implied but not clarified.

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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