Get the quickstart
get_quickstartRead-onlyIdempotent
The Vector Panda quickstart: install the veep Python SDK, upload a file, and run similarity queries end to end.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Vector Panda Documentation
Schema Changelog
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
- First observed
TDQS
A4.8/5.0
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations declare readOnly, non-destructive, and idempotent behavior, which is consistent with a documentation/guide tool. The description does not contradict these annotations, and the nature of a quickstart guide aligns perfectly.
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?
The description is a single sentence that efficiently conveys the tool's purpose and content. No fluff or redundancy. It is front-loaded with the key term 'quickstart' and specifies the exact steps covered.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a quickstart guide with no parameters and no output schema, the description fully captures what the user will get: installation, file upload, and similarity query steps. No additional context is needed, and the sibling tool set does not overlap with this specific guide.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has no parameters, so there is no risk of misunderstanding. The schema coverage is 100% (empty), and the description does not imply any hidden inputs. This is appropriate for a static guide.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool provides a quickstart guide for installing the SDK, uploading a file, and running similarity queries. The verb 'quickstart' and specific steps make the purpose unambiguous, and it is distinct from sibling tools like pricing or API operations.
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?
The description implies the tool is for getting started with Vector Panda, but it does not explicitly state when to use it versus alternatives like read_doc or search_docs. However, the name and content strongly suggest it is the entry point for new users.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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TDQS
A4.1/5.0
Disambiguation4/5
Most tools have clearly distinct purposes: search, read, API reference, quickstart, formats, benchmarks. The main overlap is between compare_storage_tiers and get_pricing, which both cover storage-tier pricing and could confuse an agent.
Naming Consistency4/5
The set mostly follows a predictable get_/list_/read_/search_ verb pattern with snake_case throughout. Minor deviation: read_doc and search_docs use navigation verbs instead of get_/list_, but the pattern remains readable.
Tool Count5/5
Eight tools is well-scoped for a documentation-focused server. Each tool covers a meaningful documentation need without redundancy or bloat.
Completeness5/5
The surface covers the full documentation workflow: searching docs, reading docs, quickstart, API operations, pricing, storage tiers, formats, and benchmarks. No obvious dead ends or missing core operations.