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ai-engineers-guild

Apartment Hunter MCP Server

analyze_apartment

Analyzes apartments by scoring price/quality, condition, and location from 0 to 10. Provides pros, cons, and a summary to aid rental decisions.

Instructions

Run LLM analysis on a specific apartment.

Scores the apartment 0-10 based on price/quality ratio, condition, location, and other factors. Returns score, pros, cons, and summary. Forces re-analysis even if already analyzed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
source_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description discloses that it forces re-analysis, which is a behavioral trait. However, it does not mention potential costs, latency, or rate limits associated with LLM usage, leaving some transparency gaps.

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?

The description is efficient with 4 sentences, front-loaded with the main purpose. Minor redundancy (e.g., 'apartment' repeated).

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

Completeness3/5

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

The observation of output schema (not visible but known) covers return values. However, the missing parameter explanation and lack of behavioral details like cost/speed make it slightly incomplete for a tool involving LLM analysis.

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

Parameters2/5

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

The parameter source_id is required but not explained in the description. With 0% schema coverage, the description should clarify what the source_id refers to (e.g., an apartment ID or URL), but it only vaguely mentions 'specific apartment'.

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?

The description clearly states the tool runs LLM analysis on a specific apartment, scoring it on several factors and returning structured results. It distinguishes itself from siblings like compare_apartments and get_apartment_details.

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

Usage Guidelines4/5

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

The description explicitly mentions that the tool forces re-analysis even if already analyzed, implying it should be used when a fresh analysis is needed. It does not provide explicit when-not-to-use or alternatives, but the context is clear enough.

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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