get_agent
get_agentGet details about one real estate agent by id or slug: profile, rating, reviews, specialties, and contact info.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Agent id or slug |
get_agentGet details about one real estate agent by id or slug: profile, rating, reviews, specialties, and contact info.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Agent id or slug |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true. The description adds context about the returned data (profile, rating, etc.) but does not cover error conditions, authorization needs, or format details. Behavioral transparency is adequate but not enhanced beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence that is front-loaded with the action and resource, listing key information. No redundant words or filler. Every part earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple retrieval tool with one parameter and no output schema, the description is complete: it names the resource, identifier, and what details are returned. The context signals indicate low complexity, so no additional detail is necessary.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides 100% coverage for the single parameter 'id' with description 'Agent id or slug'. The tool description does not add further semantic meaning beyond what the schema already states. Baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get details'), the resource ('real estate agent'), and the identifier method ('by id or slug'). It also lists the categories of information returned, which distinguishes it from sibling tools like search_agents that return lists.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when one needs agent details by a specific identifier, but does not explicitly state when not to use it or compare to alternatives like search_agents. No exclusions or prerequisites are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have distinct purposes covering account management, listings, search, financials, etc. However, `fetch` and `get_listing` both retrieve full listing details, creating potential confusion. Also, `search` and `search_listings` overlap but are differentiated by free-text vs. filtered search.
All tool names follow a consistent `verb_noun` pattern in snake_case (e.g., `create_listing`, `publish_listing`, `connect_account`). The naming is predictable and clear throughout.
At 39 tools, the server is quite large for a real estate domain. While it covers many aspects, some tools like `fetch` and `get_listing` are redundant. The count feels excessive and could be streamlined to around 25-30 without losing functionality.
The tool set covers listing CRUD, various search types, agent/company profiles, financial calculators, inquiries, saved searches, and account management. Minor gaps exist, such as lack of bulk operations or advanced analytics, but core workflows are well-supported.