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Glama

foundrynet-search

Server Details

x402-gated web search gateway. Tools: search, search_enriched.

Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
FoundryNet/foundrynet-search
GitHub Stars
0
Server Listing
FoundryNet Search

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Tool DescriptionsC

Average 2.7/5 across 2 of 2 tools scored.

Server CoherenceA
Disambiguation4/5

Both tools perform web search, but one returns raw results while the other adds an AI-generated summary. The descriptions clearly differentiate them, though an agent might briefly pause to decide which is needed.

Naming Consistency5/5

Both tool names use a consistent snake_case verb_noun pattern: 'search' and 'search_enriched'. The naming is predictable and clear.

Tool Count3/5

With only 2 tools, the server is minimal. For a search server, this is borderline acceptable but feels slightly thin, as one might expect additional tools like pagination or site-specific search.

Completeness3/5

The domain is web search, and the two tools cover basic search and enriched search with summaries. Missing features like pagination, filtering, or scraping individual pages represent notable but not severe gaps.

Available Tools

2 tools
search_enrichedCInspect

Web search + Claude-generated sourced summary

ParametersJSON Schema
NameRequiredDescriptionDefault
queryYessearch query
api_keyNo
max_resultsNo
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions 'Claude-generated' but does not explain that this may involve additional latency, API calls, or how sources are selected. The summary generation implies AI behavior not elaborated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short (two phrases) but is under-specified rather than concisely informative. It could add critical details without becoming verbose.

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

Completeness2/5

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

Given 3 parameters, no output schema, and no annotations, the description fails to convey the return format, behavior of max_results, authentication needs, or what constitutes a 'sourced summary'. Leaves significant gaps for an agent.

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

Parameters2/5

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

Schema coverage is 33% (only 'query' described). The description does not detail the 'api_key' or 'max_results' parameters, nor does it explain how they affect the search or summary. Fails to compensate for low coverage.

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 states the tool performs web search and returns a Claude-generated summary with sources. It distinguishes from the sibling 'search' by adding the summary component, but 'sourced' is ambiguous.

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

Usage Guidelines2/5

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

No guidance on when to use this vs. the sibling 'search' tool. No context on prerequisites or ideal use cases.

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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