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Glama

summary

Returns headline results from a consumer DNA report: quality, lineages, ancestry estimate, multi-site readings, and an at-a-glance digest; excludes health tables.

Instructions

Headline results of the current (or given) report: quality, lineages, ancestry estimate, multi-site readings and the at-a-glance digest. No health tables; use clinvar_findings / pharmacogenomics for those.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "summary"
  }
}

Input Schema

NameRequiredDescriptionDefault
report_dirNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.1

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden. It discloses the content scope of the response (what is and is not included), which is the key behavioral fact for a read tool, but says nothing about read-only semantics, error behavior when no report exists, or the shape/size of the output beyond a list of topics.

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?

Two compact sentences with no filler. The content inventory comes first and the exclusion/alternative clause follows, which is the right front-loading for an agent deciding whether to call it.

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

Completeness4/5

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

For a single-optional-parameter read tool with no annotations and no output schema, the description covers what matters: what comes back, what does not, and where to go for the excluded data. Only the report_dir format and empty/missing-report behavior remain undocumented, which is a minor gap at this complexity level.

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

Parameters3/5

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

Schema description coverage is 0% for report_dir, so the schema adds nothing. The phrase 'current (or given) report' does explain the default-vs-explicit semantics of the single optional parameter, which is genuine added meaning. It still gives no hint about the expected path format or how the report directory is located, so it only partially compensates for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (headline results of the report) and enumerates the contents returned: quality, lineages, ancestry estimate, multi-site readings, and the at-a-glance digest. It also explicitly excludes health tables and names the siblings that serve them, so an agent can tell it apart from clinvar_findings and pharmacogenomics. The retrieval verb is only implied ('Headline results of...'), which keeps it just short of a 5.

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?

It gives an explicit exclusion ('No health tables') plus the alternative tools to use instead, which is stronger than most sibling tools provide. It does not, however, say when to prefer summary over section, lookup, or analyze for general report inspection, so the routing guidance is only partial.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.