Get TV show details by ID
AI agents call tv_details to retrieve information from TMDB MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about TV shows from a database. It has no side effects, creates no data changes, executes no commands, and poses minimal risk. Consistent with sibling tools like 'movie_details' and 'movie_popular' which are all read-only data retrieval operations.
From the tool's definition Tool name 'tv_details' and description 'Get TV show details by ID' indicate a retrieval operation. The verb 'Get' and context as part of a TMDB API read-only information service confirm this retrieves data without modification.
Attacks that exploit this kind of access
Get TV show details by ID. It is categorised as a Read tool in the TMDB MCP Server MCP Server, which means it retrieves data without modifying state.
Register the TMDB MCP Server MCP server in PolicyLayer and add a rule for tv_details: 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 TMDB MCP Server. Nothing to install.
tv_details 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 tv_details 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 tv_details. 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.
tv_details is provided by the TMDB MCP Server MCP server (ryanxili/tmdb-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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