claidex_claim_risk_matrixSearch claims and summarize MRS bands, trial phases, failure archetypes, and high-risk programs for rapid diligence.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | Yes | ||
| query | Yes | Drug, target, disease, sponsor, or failure archetype. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It correctly describes the tool as searching and summarizing, indicating a read-oriented operation. However, it does not disclose details such as whether results are full claims or only summaries, any dependencies, or potential side effects beyond the basic operation.
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 that front-loads the verb and includes only essential information. It avoids filler and is highly scannable, making it easy for an agent to parse.
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?
Given the absence of an output schema and annotations, the description should clarify return content and context. It lists what is summarized, but omits details on output format, how the limit parameter behaves, and how the tool relates to similar claim-search tools. It is adequate but leaves some gaps for a 2-parameter tool.
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?
Schema description coverage is 50% (query has a description, limit does not). The tool description does not mention parameters or compensate for the missing limit description. While 'limit' is somewhat self-explanatory, the description adds no value in clarifying parameter usage or constraints.
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 a specific verb ('Search' and 'summarize') and a defined resource ('claims') with a distinct outcome ('MRS bands, trial phases, failure archetypes, high-risk programs'). It differentiates from sibling tools like search_claims by adding the summarization role, making its purpose unambiguous.
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 phrase 'for rapid diligence' implies a use case, but there is no explicit guidance on when to use this tool versus alternatives like search_claims or query_failure_graph. No exclusions or comparison to siblings are provided, leaving the agent infer usage.
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.
Several tools have overlapping responsibilities: search, search_claims, search_preprint_flags, and claidex_claim_risk_matrix all query claim/failure data, while rank_documents_by_embedding and rerank_documents both perform relevance ranking. The compatibility-oriented fetch/search tools add further confusion because their names collide with fetch_research_url and search_claims.
Names are grouped by prefixes (claidex_, query_, search_, run_) but the groups use different conventions, and bare verbs like 'fetch' and 'search' sit alongside prefixed forms like 'fetch_research_url' and 'search_claims'. The pattern is readable but not uniform.
24 tools is at the heavy end for an MCP server; while the breadth reflects many biomedical data sources and utilities, the count includes several meta/compatibility tools that could be consolidated. It is borderline but not unreasonable.
The surface covers the core biomedical workflows: searching claims, retrieving full claim content, querying failure graphs, checking preprints, and looking up drugs/trials/targets/adverse events. Minor gaps exist, such as no direct way to fetch a single clinical trial by ID beyond the search function, and no write/update operations for claims, but these are likely outside the read-only research scope.