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Endorsement Index: HUD multifamily loans

HUD multifamily rule changes

hud_changes
Read-onlyIdempotent

Dated HUD multifamily rule changes, newest first: Mortgagee Letters, Federal Register notices and related items, each with status, effective date, who it affects and a link to the primary document. Pass since (YYYY-MM-DD) for changes published on or after a date.

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": "hud_changes"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
sinceNoOnly changes with a publication or issue date on or after this date, YYYY-MM-DD.
offsetNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed world), so the description's value is in adding ordering (newest first) and the shape of each item: status, effective date, affected parties, and a link to the primary document. It omits pagination behavior and whether limit/offset are honored, which is a real gap for a list endpoint but not a safety issue.

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

Conciseness5/5

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

Two dense sentences with zero filler: what the resource is and its ordering first, then the one non-obvious parameter. Every clause carries information an agent needs.

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?

With three optional parameters, no output schema, and no required fields, the description does the heavy lifting by describing the returned record fields and ordering, which compensates for the absent output schema. Missing pagination semantics for limit/offset is the only notable incompleteness.

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 coverage is 33%: only `since` carries a schema description, and the description effectively repeats it ('Pass since (YYYY-MM-DD) for changes published on or after a date'). The `limit` and `offset` parameters are undocumented in both schema and description, so pagination semantics and how many results an agent should request remain unstated.

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

Purpose4/5

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

The description names the specific resource (dated HUD multifamily rule changes) and its contents (Mortgagee Letters, Federal Register notices), plus ordering (newest first). That is far more specific than a bare 'list' name, though it never contrasts itself with siblings like hud_checklist or hud_stats, so an agent must infer the boundary from topic alone.

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?

Usage is implied by the resource scope rather than stated: an agent can infer this answers 'what HUD multifamily rules changed and when.' The only explicit guidance is about the `since` parameter, with no when-not-to-use or named alternative tool, so routing against siblings rests on inference.

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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