get_snapshot_meta
Get the current published snapshot metadata: version, counts, freshness, validation.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get the current published snapshot metadata: version, counts, freshness, validation.
| 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?
No annotations are provided, so the description carries the behavioral disclosure burden. It clearly indicates a read-only retrieval by using 'Get' and names the metadata categories returned, but it does not describe response format, error behavior, or whether the 'current' snapshot can change between calls.
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 a single sentence with no filler words, and the core action and resource appear first. The enumeration of version, counts, freshness, and validation efficiently conveys the tool's scope.
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, read-only metadata getter with no output schema, the description provides a reasonable overview of the returned information. It could be slightly more explicit about formatting or how 'current' and 'published' are determined, but overall it is sufficient for an agent to understand the tool's role.
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 tool has zero parameters and the schema already provides complete coverage, so the standard baseline of 4 applies. The description adds contextual meaning by clarifying what kind of metadata will be returned, even though no parameter-specific semantics are needed.
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 identifies a specific verb ('Get'), a specific resource ('current published snapshot metadata'), and enumerates the key information returned. None of the sibling tools target snapshot metadata, so it is clearly distinguished from the alternatives.
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 the tool should be used when the current published snapshot metadata is needed, but it does not explicitly state when to use it versus alternatives or mention any exclusion conditions. Since no sibling tool overlaps with snapshot metadata, the lack of explicit exclusions is a minor gap.
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 has a distinct role: get single entity, list entities, search entities, compare entities, get relations, get taxonomy, get tracks, get snapshot meta. Although list_entities and search_entities are related, their descriptions clearly separate filtering/ranking from keyword search.
All tool names follow a consistent verb_noun snake_case pattern using clear verbs: get, list, search, compare. There are no mixed conventions or vague generic names.
8 tools is well-scoped for a read-only knowledge/atlas server. Each tool covers a meaningful operation without redundancy or unnecessary bloat.
The set covers the full read-only lifecycle: discovery (list, search), detail (get_entity), analysis (compare, relations), and context (taxonomy, tracks, snapshot meta). No obvious gaps exist for the apparent purpose of exploring and comparing scored entities.