research
$0.25. The 107 measurement failures from an eight-month attempt to measure one person's individuation with embeddings.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
$0.25. The 107 measurement failures from an eight-month attempt to measure one person's individuation with embeddings.
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
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 present, so the description carries the full burden of behavioral disclosure. It does not state whether the tool returns data, modifies state, triggers an action, or performs a computation. The fragment about 'measurement failures' hints at subject matter but not tool behavior.
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?
The text is short, but this is under-specification rather than effective conciseness. '$0.25' is unexplained and the remaining sentence does not earn its place as actionable tool guidance.
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?
With one optional parameter, no output schema, and no annotations, the description needed to define the tool's purpose, inputs, and returns. It fails to define any of these, leaving an agent with no way to correctly invoke the tool.
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 0%, and the description never mentions the single parameter 'q'. Neither the schema nor the description explains what q means, how it affects results, or what values are valid.
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 is a noun phrase—'The 107 measurement failures from an eight-month attempt...'—with no verb or stated operation. It does not say what the tool does, what resource it acts on, or how it is distinguished from siblings such as search or catalog.
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?
There is no indication of when to use this tool versus alternatives like archive, brief, or sample. No context, conditions, or exclusions are 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.
Most tools have clearly distinct jobs: discovery (catalog, contents, sample), retrieval (archive, search, research), and analysis (precheck, audit, brief). The only real overlap is intentional—precheck is a subset of audit—and archive/search/sample differ in scope and selection.
All tool names are single lowercase words, which gives the set a consistent, predictable feel. They do not follow a verb_noun pattern, and some are nouns while others read as verbs, but the uniform style prevents confusion.
Nine tools is well-scoped for an archive-plus-analysis server. Each tool has a distinct role, and the count supports free discovery, paid access, and specialized risk-analysis features without feeling padded.
The surface covers the core journey well: browse contents, sample free cases, search by symptom, purchase full access, and run pre-flight or audit-style checks. A minor gap is the lack of a per-case purchase or tag-browsing tool, but the full archive makes those workarounds unnecessary.