add_specialist_context

A write tool on the Metis Public Health MCP server.

SERVERMetis Public Health SOURCEsveritg/metis_ph

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/sveritg-metis-ph/add-specialist-context.md

WHAT IT DOES

What add_specialist_context does on Metis Public Health

AI agents use add_specialist_context to create or update resources in Metis Public Health, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Metis Public Health environment.

RISK

Why add_specialist_context is rated Medium

The tool appears to add or create new context entries within the user's local knowledge base, based on naming convention and server architecture. This is reversible data modification (Write category) rather than Read (no retrieval indicated), Execute (no code/script execution indicated), or Destructive (creates rather than deletes).

From the tool's definition Tool name 'add_specialist_context' combined with context of server's specialist agents and pattern of sibling tools (add_glossary_term, add_journal_entry, add_memory_entry, add_tracked_file, add_user_topic) that all modify stored data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs add_specialist_context safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Metis Public Health, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For add_specialist_context, this is the rule to start with:

add_specialist_context Rate-limited

add_specialist_context 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_specialist_context": {
      "limits": [
        {
          "counter": "add_specialist_context_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Metis Public Health, apply this rule, and every add_specialist_context call is checked against it from then on.

FAQ

Questions about add_specialist_context

What does the add_specialist_context tool do? +

add_specialist_context is a write tool on the Metis Public Health MCP server. It is categorised as a Write tool in the Metis Public Health MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_specialist_context? +

Register the Metis Public Health MCP server in PolicyLayer and add a rule for add_specialist_context: 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 Metis Public Health. Nothing to install.

What risk level is add_specialist_context? +

add_specialist_context is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit add_specialist_context? +

Yes. Add a rate_limit block to the add_specialist_context 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.

How do I block add_specialist_context completely? +

Set action: deny in the PolicyLayer policy for add_specialist_context. 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 add_specialist_context? +

add_specialist_context is provided by the Metis Public Health MCP server (sveritg/metis_ph). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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