Resolve one SM-ECO-10060 member
resolve_memberCanon record for a single sovereign member by ISO-style code, e.g. FR, AU, MX.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | Member code, e.g. FR |
resolve_memberCanon record for a single sovereign member by ISO-style code, e.g. FR, AU, MX.
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | Member code, e.g. FR |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It only says 'Canon record' but does not disclose behavior like error handling, idempotency, authorization needs, or rate limits. The description adds minimal behavioral context beyond the basic action.
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?
A single sentence with clear verb, resource, format, and examples. No unnecessary words. 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 lookup tool with one parameter and no output schema, the description is adequate but missing return value details and error behavior. The agent might infer the output is a record, but specifics are absent.
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?
Schema description coverage is 100% (single parameter 'code' described as 'Member code, e.g. FR'). Description adds 'ISO-style code' and additional examples (AU, MX), improving clarity on the expected format beyond what the schema provides.
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 tool resolves a single member using an ISO-style code (e.g., FR, AU, MX). It uses specific verb 'resolve' and resource 'member', and distinguishes from sibling list_members by implying single record lookup.
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 use for looking up a single member by code, but does not explicitly state when to use this vs alternatives like list_members or other resolve tools. No exclusions or when-not guidance is provided.
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.
Each tool targets a distinct resource (headers, protocols, members, signals, dimensions) with clear actions (get, list, resolve). There is no overlap in functionality; even the two protocol tools differ in granularity (list vs. get).
Naming follows a consistent verb_noun pattern using underscores and lowercase. Minor inconsistency: 'list_sparks_dimensions' uses plural while 'resolve_sparks_dimension' uses singular, but overall the pattern is clear.
With 9 tools covering headers, protocols, members, signals, and dimensions, the count is well-proportioned for the domain. Each tool addresses a specific query type without unnecessary bloat or gaps.
The tool surface provides complete read access to all canonical entities: headers, protocols, members, signals, and dimensions. Listing and resolving operations are covered for each entity, matching the server's stated purpose of querying agent protocol data.