Skip to main content
Glama

get_platform_stats

Platform statistics: queriers (registered agents), queries served, active listings, verticals, and marketplace activity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

B3.4/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description must carry the full burden of behavioral disclosure. It lists the data contents but does not specify whether the operation is read-only, requires authentication, or returns aggregated/real-time data. The word 'statistics' implies read-only, but this is not explicit, and there is no mention of side effects or limitations.

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, well-structured sentence that front-loads 'Platform statistics' and then enumerates the specific metrics. It is concise, with no wordy or redundant phrases, and every word adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, the description should fully explain what the tool returns. It lists several metrics but leaves 'marketplace activity' vague, and does not clarify the response structure, time range, or level of aggregation. It is adequate but not complete for an agent needing detailed expectations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so by the rubric the baseline is 4. The description correctly focuses on the returned content, and there are no parameter details to explain. This score reflects that no extra parameter information is needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as providing platform statistics and lists specific metrics (queriers, queries served, active listings, verticals, marketplace activity). The verb 'get' is implied by the tool name, making the purpose evident. However, it does not explicitly differentiate from the sibling tool 'marketplace_stats', so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies that the tool is used to retrieve platform-level statistics, but it provides no explicit guidance on when to use it versus similar tools like 'marketplace_stats' or 'list_verticals'. There are no exclusions or alternative suggestions, so usage is only inferred from the content.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but get_platform_stats and marketplace_stats overlap in the stats domain and could be confused. The rest are well-separated by buyer/seller/wallet roles.

Naming Consistency3/5

Tool names mix verb-first patterns (buy_data, get_wallet_balance) with noun-first patterns (marketplace_stats, seller_dashboard, listing_history). The inconsistency is noticeable but still readable.

Tool Count2/5

27 tools is above the heavy threshold and there are multiple near-duplicate stats tools and several informational/contact tools that could be consolidated. The scope is broad but the count feels excessive.

Completeness4/5

The tool set covers the full seller lifecycle (list, update, delist, dashboard), buyer lifecycle (browse, preview, buy, get receipt, rate), wallet management, and health-data-specific flows. Missing refund/dispute tools are a minor gap.

Resources