catalog
List available free methods, decision packs, and prices.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List available free methods, decision packs, and prices.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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?
With no annotations at all, the description carries the behavioral burden. It is a read-only listing operation ('List...'), which is transparently disclosed. However, it doesn't mention response shape, pagination, or any potential latency or failures; the 'free' qualifier adds a reasonable constraint but is not behaviorally rich.
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?
One sentence, front-loaded with the verb, and every word earns its place. No restatement or filler.
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 zero-parameter catalog/listing tool with no output schema, the description is nearly complete: it tells the agent the kind of information returned. It does not define what fields or pricing structure appear, but the sibling names and tool purpose compensate. A small deduction for not clarifying whether the list is interactive or static.
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?
There are 0 parameters, so the description's job is trivial; saying what the tool lists (free methods, decision packs, prices) is sufficient contextual meaning. The baseline for 0 params is 4, and the description meets it by clarifying the output category.
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 states a clear verb ('List') and a resource ('available free methods, decision packs, and prices'), which distinguishes catalog from the sibling tools method, pack_offer, and sample_pack. It doesn't name the siblings explicitly, but the resource enumeration conveys scope.
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 catalog is the tool for browsing available offerings, which is useful context. However, it does not explicitly state when to use this tool versus method, pack_offer, or sample_pack, nor any exclusions or prerequisite conditions.
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: catalog lists available items, kit_catalog previews unevaluated kits, method reads free methods, pack_offer returns payable URLs, and research_feedback is the only write action. However, catalog vs kit_catalog and the preview-style tools (kit_catalog, research_preview) have close enough names/functions to cause occasional misselection.
All tool names follow the same lowercase snake_case noun-phrase convention, such as catalog, kit_catalog, pack_offer, and research_preview. There is no mixing of styles or inconsistent verb usage.
Seven tools is well-scoped for a knowledge-commons server covering catalogs, free content, paid offers, previews, samples, and feedback. Each tool has a clear purpose and none feel redundant.
Core workflows are covered: browse catalogs, read free methods, obtain payable pack URLs, preview research, fetch a sample pack, and submit feedback. There is no explicit decision-pack content reader or purchase tool, but pack_offer intentionally stops at the payable URL, suggesting a deliberate boundary rather than a dead end.