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ashev87

Propstack MCP

match_contacts_to_property

Find contacts with matching search profiles for a new property listing. Returns ranked matches based on property type, price, location, and features.

Instructions

Find contacts whose search profiles match a property. Returns a ranked list with match scores.

Use when a new listing comes in to find potential buyers/renters: "Who should I send this new listing to?"

Logic:

  1. Fetches the property details (type, price, rooms, space, city, features)

  2. Fetches active search profiles (paginates, capped by max_profiles)

  3. Scores each profile against the property on: marketing type, city, price range, room count, living space, property type, and features

  4. Returns top 20 matches sorted by score with match/mismatch details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
property_idYesProperty ID to find matching contacts for
max_profilesNoMax search profiles to fetch and score (default: 1000). Caps API calls and memory for large accounts.
Behavior5/5

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

With no annotations, the description fully discloses the tool's behavior: it fetches property details, paginates search profiles capped by max_profiles, scores on multiple criteria, and returns top 20 matches. It also explains the capping rationale (limits API calls and memory).

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?

The description is well-structured with a clear overview, usage guidance, and logical steps. It is concise without unnecessary words, and every sentence contributes to understanding.

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

Completeness5/5

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

Given the tool's complexity with multi-step matching, the description covers all necessary aspects: input, process, and output (ranked list, top 20, scores, details). No output schema is needed as the description suffices.

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

Parameters4/5

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

Schema coverage is 100%, and the description adds value by explaining the purpose of max_profiles (default 1000, caps API calls/memory) and implying property_id's role. This goes beyond the schema's brief descriptions.

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 'Find contacts whose search profiles match a property', using a specific verb and resource. It distinguishes this tool from sibling search tools by focusing on matching contacts to a property, which is a unique capability.

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 provides a use case: 'Use when a new listing comes in to find potential buyers/renters', with an example question. It lacks explicit exclusions or alternatives, but the guidance is strong.

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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