hires_list_application_evaluations
List all filled evaluation forms for an application. Each evaluation includes the evaluator, summary score (strong-yes to strong-no), and summary text.
This record as markdown: /tools/100hires-mcp-server/hires-list-application-evaluations.md
What hires_list_application_evaluations does on 100Hires MCP Server
AI agents call hires_list_application_evaluations to retrieve information from 100Hires MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why hires_list_application_evaluations is rated Low
This tool retrieves and queries existing evaluation data without creating, modifying, or deleting any records. It is a pure read operation that returns structured information about candidate evaluations. The blast radius of misuse is minimal—exposure of evaluation forms and scores could reveal sensitive hiring decisions, but the tool itself performs no side effects or irreversible actions.
From the tool's definition Tool name contains 'list' and description states it 'List[s] all filled evaluation forms for an application,' retrieving evaluator data, scores, and text with no modification or deletion capability indicated.
Attacks that exploit this kind of access
The rule that runs hires_list_application_evaluations safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 100Hires MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hires_list_application_evaluations, this is the rule to start with:
hires_list_application_evaluations is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect 100Hires MCP Server, apply this rule, and every hires_list_application_evaluations call is checked against it from then on.
Questions about hires_list_application_evaluations
List all filled evaluation forms for an application. Each evaluation includes the evaluator, summary score (strong-yes to strong-no), and summary text. It is categorised as a Read tool in the 100Hires MCP Server MCP Server, which means it retrieves data without modifying state.
Register the 100Hires MCP Server MCP server in PolicyLayer and add a rule for hires_list_application_evaluations: 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 100Hires MCP Server. Nothing to install.
hires_list_application_evaluations 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 hires_list_application_evaluations 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 hires_list_application_evaluations. 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.
hires_list_application_evaluations is provided by the 100Hires MCP Server MCP server (100hires/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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