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Get form analytics

foxform_get_form_analytics
Read-onlyIdempotent

Aggregated analytics for a form: overview KPIs (total responses, form views, response rate, avg response time), the responses-over-time timeline, and per-question stats.

Args:

  • form_id (string)

  • response_format ('markdown' | 'json')

Returns: { overview, timeline: [{date,count}], questions: [...], response_time_distribution?, views_timeline? }. Note: form_views / response_rate are null until the form has tracked views (forward-only).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
form_idYesForm ID
response_formatNoOutput format: 'markdown' (human-readable) or 'json' (machine-readable)markdown

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive. The description adds meaningful beyond-annotations context: form_views and response_rate are null until views are tracked (forward-only), and optional fields response_time_distribution and views_timeline are disclosed. No contradiction.

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?

The description opens with a substantive purpose sentence, then provides a compact return shape and a useful edge-case note. The Args block is somewhat redundant with the schema but is short and scannable, so it does not significantly hurt structure.

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?

For a read-only analytics tool with strong annotations and full schema coverage, the description gives the return shape and an important data-scarcity edge case. It could clarify what per-question stats contain or timeline granularity, but nothing essential is missing.

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 provides 100% coverage with descriptions for both parameters and a default for response_format. The description's Args block only restates form_id and response_format without adding extra meaning, so the schema carries the semantic burden.

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?

States a specific verb ('get') and resource ('form analytics'), and enumerates the exact content: overview KPIs, responses-over-time timeline, and per-question stats. This clearly differentiates it from siblings like foxform_get_form or foxform_list_responses.

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?

No explicit when-to-use or alternative routing is provided. The word 'Aggregated' and the KPI list imply use when summary analytics are needed rather than raw responses, but an agent is not told to prefer this over foxform_export_responses or foxform_list_responses in any scenario.

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

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct resource-action pair: forms vs responses vs analytics, and create/update/publish/unpublish/list/get are clearly separated. There is no overlap or ambiguity between any two tools.

Naming Consistency5/5

All tool names follow the uniform foxform_<verb>_<noun> pattern in snake_case, with clear verbs (create, get, list, update, publish, unpublish, export). The convention is perfectly consistent across the entire set.

Tool Count5/5

Ten tools is well-scoped for a form management server, covering form lifecycle, response retrieval, and analytics without redundancy or bloat. Each tool earns its place.

Completeness4/5

The server covers the full form lifecycle (create, read, update, publish, unpublish) and response viewing/export/analytics. The only notable gap is the lack of a delete operation for forms, which is a minor dead end rather than a critical failure.

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