Low Risk

asset_models_inspect

Full capability dump for one model. MCP equivalent of `p2a models inspect <id>`. Accepts a model id or an `aka` alias. Returns the full ModelInfo record, env status, paste targets, routing rules that reference this model (as PRIMARY / fallback / NEVER), and usage notes. Read-only; no network.

Part of the Prompt To Asset MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call asset_models_inspect to retrieve information from Prompt To Asset without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though asset_models_inspect only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

io-github-mohamedabdallah-14-prompt-to-asset.yaml
tools:
  asset_models_inspect:
    rules:
      - action: allow

See the full Prompt To Asset policy for all 24 tools.

Tool Name asset_models_inspect
Category Read
Risk Level Low

View all 24 tools →

Agents calling read-class tools like asset_models_inspect have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the asset_models_inspect tool do? +

Full capability dump for one model. MCP equivalent of `p2a models inspect <id>`. Accepts a model id or an `aka` alias. Returns the full ModelInfo record, env status, paste targets, routing rules that reference this model (as PRIMARY / fallback / NEVER), and usage notes. Read-only; no network.. It is categorised as a Read tool in the Prompt To Asset MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on asset_models_inspect? +

Add a rule in your Intercept YAML policy under the tools section for asset_models_inspect. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Prompt To Asset MCP server.

What risk level is asset_models_inspect? +

asset_models_inspect is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit asset_models_inspect? +

Yes. Add a rate_limit block to the asset_models_inspect rule in your Intercept 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.

How do I block asset_models_inspect completely? +

Set action: deny in the Intercept policy for asset_models_inspect. 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.

What MCP server provides asset_models_inspect? +

asset_models_inspect is provided by the Prompt To Asset MCP server (prompt-to-asset). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

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