info
Get detailed metadata for a playbook package by slug.
Args: api_key: Your API key slug: Package slug (e.g. "daily-journal")
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | ||
| api_key | Yes |
Get detailed metadata for a playbook package by slug.
Args: api_key: Your API key slug: Package slug (e.g. "daily-journal")
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | ||
| api_key | Yes |
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 the full burden. The verb 'Get' implies a read-only operation, and the api_key parameter suggests authentication needs. However, it does not explicitly state that there are no side effects, nor does it describe rate limits, pagination, or what 'detailed metadata' includes.
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 description is concise, with a single clear sentence followed by a well-formatted Args block. There is no wasted text, and the core purpose is front-loaded.
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?
The tool is simple (two required parameters) and both are explained, but there is no output schema and the description does not detail the return structure or how this tool relates to sibling tools. It is minimally viable but lacks full contextual integration.
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?
The schema only lists parameter names and types (0% description coverage), but the description compensates by explaining each parameter: api_key is the user's API key and slug is the package slug with an example. This adds meaningful context beyond the schema, though constraints or formats are not specified.
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 action ('Get') and the resource ('detailed metadata for a playbook package by slug'), making the tool's purpose specific. However, it does not explicitly differentiate this from sibling tools like 'library' or 'download', so it lacks explicit sibling distinction.
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 provides no guidance on when to use this tool versus alternatives. It only describes what the tool does and lists parameters, with no mention of exclusions or preferred contexts.
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 and action: playbook operations (browse, info, buy, download, publish, rate, library) are clearly separated from Q&A operations (ask, answer, answers, browse_qa, questions, tip) and account setup (register). The _qa suffix in browse_qa disambiguates it from the general browse, and 'answers' vs 'answer' are respectively view and action tools with clear descriptions.
Tool names are all lowercase and mostly use imperative verbs for actions (answer, ask, buy, download, publish, rate, register, tip) while views use nouns (answers, questions, library, info). The minor deviation is browse_qa (verb + underscore) breaking the single-word pattern, but the convention is otherwise predictable and readable.
14 tools is well-scoped for a playbook marketplace combined with an agent Q&A network. Each tool serves a clear purpose—covering marketplace discovery, purchase, content retrieval, publishing, rating, and a full Q&A loop with tipping—without unnecessary redundancy.
The core workflows are complete: agents can browse, buy, download, rate, and publish playbooks, and fully participate in Q&A (ask, answer, browse, view, tip). The main gap is lack of update/delete operations for published playbooks, which could leave agents unable to correct or remove listings, though this is a minor limitation given the free-playbook focus.