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US first-time home buyer programs by state

first_time_buyer_programs_us
Read-onlyIdempotent

UNITED STATES. The state housing finance agency and its first-time buyer loans, down payment assistance, mortgage credit certificates, income limits and homebuyer education requirement, with official links.

Input Schema

NameRequiredDescriptionDefault
stateYesUS state: any of the 50 states, by name or two-letter code (e.g. "Texas", "TX").

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered structurally. The description adds the geographic scoping ('UNITED STATES') and notes results include official links, which is modest extra context. It does not disclose anything about freshness of the data, rate limits, or whether state-level program availability varies over time.

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

Conciseness4/5

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

A single sentence, front-loaded with the scope marker 'UNITED STATES' followed by the resource and its contents. It is dense but every clause maps to actual content the tool returns. Slightly list-heavy but no filler sentences.

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?

There is no output schema, and the description compensates well by enumerating the categories of information returned (loans, DPA, MCCs, income limits, education requirement, official links). Combined with the fully documented single parameter and the read-only annotations, an agent has enough to call it correctly. It could be more complete about territory/DC coverage and data currency.

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?

Only one parameter and schema description coverage is 100% — the schema already documents that 'state' accepts any of the 50 states by name or two-letter code with examples. The description adds nothing beyond what the schema provides, so the baseline 3 applies.

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 a concrete resource (state housing finance agency first-time buyer programs) and enumerates the specific contents: loans, down payment assistance, mortgage credit certificates, income limits, education requirement, official links. That is far more specific than a tautology and clearly distinguishes it from generic siblings like state_overview_us or federal_guide_us. It never explicitly names those siblings as alternatives, so it stops short of a 5.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus federal_guide_us, state_overview_us, or the various house_prices/foreclosure tools in the sibling list. No exclusions either — an agent cannot tell whether this is only for first-time buyers, only for US states, or how it differs from the federal-level guide. Usage is implied by the name alone.

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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