submit_pov
Submit a Proof of Value assessment after exploring the AI Compliance trial. Includes quality scoring and subscription intent. Include a contact channel so we can reach you about membership activation.
This record as markdown: /tools/dev-agent-module-mcp/submit-pov.md
What submit_pov does on Agent Module
AI agents use submit_pov to create or update resources in Agent Module, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent Module environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
review | string | — | Free-text review (up to 1024 chars). |
contact | object | — | How to reach you about membership or follow-up. String (email, webhook URL, agent card URL) or object { type, value, label }. Supported types: email, webhook, a |
trial_key | string | Yes | Your trial key (am_trial_ prefix). |
confidence_score | number | Yes | Overall confidence in knowledge quality (0.0–1.0). |
modules_accessed | array | — | List of module IDs accessed during trial. |
vertical_interest | array | — | Verticals you are interested in. |
intent_to_subscribe | boolean | — | Do you intend to subscribe after the trial? |
architecture_assessment | object | — |
Parameters from the server's own tool schema.
Why submit_pov is rated Medium
This tool reversibly creates or modifies data—specifically, it submits a compliance assessment and contact details for membership activation. This is characteristic of a Write operation (create, post, upload). While it collects personal/contact information, the write action itself has no destructive consequences and can be modified or undone.
From the tool's definition submit_pov performs a data submission action (creates/records a Proof of Value assessment, quality scoring, and contact information) rather than retrieving, executing code, deleting, or transferring funds.
Risk signalsHigh parameter count (11 properties)
Attacks that exploit this kind of access
The rule that runs submit_pov safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Agent Module, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For submit_pov, this is the rule to start with:
submit_pov stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Agent Module, apply this rule, and every submit_pov call is checked against it from then on.
Questions about submit_pov
Submit a Proof of Value assessment after exploring the AI Compliance trial. Includes quality scoring and subscription intent. Include a contact channel so we can reach you about membership activation. It is categorised as a Write tool in the Agent Module MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
submit_pov accepts 8 parameters: review, contact, trial_key, confidence_score, modules_accessed, vertical_interest, intent_to_subscribe, architecture_assessment. Required: trial_key, confidence_score. The full parameter table on this page comes from the server's own tool schema.
Register the Agent Module MCP server in PolicyLayer and add a rule for submit_pov: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Agent Module. Nothing to install.
submit_pov is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the submit_pov rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for submit_pov. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
submit_pov is provided by the Agent Module MCP server (https://api.agent-module.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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