AI agents call resolve_spec to retrieve information from Speclib without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns existing specification content as markdown. It performs no modifications, deletions, or side effects — it is a pure read/fetch operation limited to public specs.
From the tool's definition 'Resolve a spec by its identifier... Returns the raw markdown content (frontmatter+body). Only works for public specs.'
Attacks that exploit this kind of access
Resolve a spec by its identifier (e.g. drupal.module.create). Returns the raw markdown content (frontmatter+body). Only works for public specs. It is categorised as a Read tool in the Speclib MCP Server, which means it retrieves data without modifying state.
Register the Speclib MCP server in PolicyLayer and add a rule for resolve_spec: 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 Speclib. Nothing to install.
resolve_spec is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the resolve_spec 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 resolve_spec. 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.
resolve_spec is provided by the Speclib MCP server (rang501/speclib-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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