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bmlt-mcp-server

by jbonjour

Get Service Bodies

bmlt_get_service_bodies
Read-onlyIdempotent

Get a list of all service bodies (regions, areas, districts) from a BMLT root server, including IDs, names, types, URLs, and helplines, to filter meetings or find area contacts.

Instructions

Retrieve all service bodies (NA regions, areas, districts) from a BMLT root server.

Service bodies are the organizational units that manage meeting data in BMLT. Knowing the ID of a service body lets you filter meeting searches to a specific area.

Use this to:

  • Discover service body IDs for use in bmlt_search_meetings

  • See the hierarchy of areas served by a root server

  • Find a specific area's helpline or website

Args:

  • root_server_url (string, optional): BMLT root server URL. Defaults to "https://bmlt.wszf.org/main_server"

  • response_format (string, optional): "markdown" (default) or "json"

Returns: List of service bodies with IDs, names, types, URLs, and helplines.

Example: Portland NA has service body ID 26 on the WSZF root server.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
root_server_urlNoBMLT root server URL (default: "https://bmlt.wszf.org/main_server")
response_formatNoOutput format: 'markdown' or 'json'markdown
Behavior4/5

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

Annotations already indicate read-only, non-destructive, idempotent behavior. The description adds value by specifying return fields (IDs, names, types, URLs, helplines) and providing an example. No contradiction with annotations.

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 clear sections, bullet points, and an example. Every sentence adds value without redundancy. It is appropriately concise.

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 no output schema, the description adequately explains the return list and includes an example. It covers all necessary context for an agent to use the tool correctly.

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%, so the schema already describes parameters. The description adds practical guidance by showing defaults and an example (root_server_url). This enhances understanding beyond the schema.

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 'Retrieve all service bodies' and explains their role as organizational units in BMLT. It distinguishes from sibling tools by explicitly mentioning their use in filtering meeting searches via bmlt_search_meetings.

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 lists use cases: discovering service body IDs, viewing hierarchy, and finding helpline/website. It provides good context for when to use this tool, though it lacks explicit exclusions or when-not scenarios.

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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