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Change the spam blocklist

hiring_update_blocklist

Block or unblock networks and email domains, like Greenhouse's spam blocklist. Applications from them are kept as spam: no $0.50 fee, no emails, out of hiring_list_applicants unless spam is true, and the sender sees the usual thank-you. Applications already in stay where they are. $0.001. Costs $0.001 per call; nothing if it fails.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "hiring_update_blocklist"
  }
}

Input Schema

NameRequiredDescriptionDefault
addNo
removeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Goes well beyond annotations (destructiveHint=false, idempotentHint=false) by disclosing concrete effects: applications kept as spam, no $0.50 fee, no emails, excluded from hiring_list_applicants unless spam=true, sender still gets a thank-you, and existing applications stay put. Pricing behavior (charged on success, free on failure) is also stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded and information-dense, but the cost is stated twice ('$0.001. Costs $0.001 per call; nothing if it fails'), and the effect sentence is a run-on list. Tightening would remove real redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no output schema, the description covers effects, reversibility, and cost well enough to call correctly. Minor gap: it doesn't state what a successful call returns or that add/remove can be combined in one call, but overall it is substantially complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported as 0% at the tool level, though nested field descriptions exist for ips/email_domains. The description only implicitly maps 'block or unblock' to the add/remove objects and adds no detail on limits, ranges, or the free-provider refusal rule that the schema fields carry.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb pair (block/unblock) and resource (networks and email domains) with a real-world analogy (Greenhouse's spam blocklist). An agent can distinguish it from hiring_get_blocklist (read) and hiring_mark_spam (single-app action) without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The consequences of a blocked source are spelled out, which implies when the tool is appropriate, but it never explicitly names alternatives like hiring_mark_spam or hiring_get_blocklist or states when NOT to use it. Usage is inferable rather than guided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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