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rishab2404

Elasticsearch MCP Server

by rishab2404

search

Query Elasticsearch indices using query DSL to retrieve and analyze data with highlights, profiling, and execution explanations.

Instructions

Perform an Elasticsearch search with the provided query DSL. Highlights are always enabled.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indexYesName of the Elasticsearch index to search
queryBodyYesComplete Elasticsearch query DSL object that can include query, size, from, sort, etc.
profileNoWhether to include query profiling information
explainNoWhether to include explanation of how the query was executed

Implementation Reference

  • The main handler function for the 'search' tool. It performs an Elasticsearch search on the specified index using the provided query DSL, injects permission-based filters retrieved from Redis based on userId and index type, enables highlighting on text fields, processes aggregations, and formats the results with highlights and metadata.
    async ({ index, queryBody, userId }) => {
      console.error("[DEBUG] search tool called", index, userId, queryBody);
      try {
    
        const redisKey = `GLOBAL_SEARCH_INDEX_ID_MAPPING:${userId}`;
        const raw= await redis.get(redisKey);
    
        console.error("[DEBUG] Redis key fetched:", redisKey, "->", raw);
    
        const allowedIdsObj = JSON.parse(raw || "{}");
        
    
        const allowedIds = [
          ...allowedIdsObj.header_section_doc_ids,
          ...allowedIdsObj.line_item_section_doc_ids,
          ...allowedIdsObj.header_clause_doc_ids,
          ...allowedIdsObj.line_item_clause_doc_ids,
          ...allowedIdsObj.attachment_doc_ids,
          ...allowedIdsObj.meta_doc_ids,
          
        ];
    
    
    
    let permissionFilter;
    
    if (index === "cdc_agreement_list") {
      // For this index, permission index is "permitted_agreement_for_meta" and keys are meta_doc_ids
      const allowedMetaDocIds = allowedIdsObj.meta_doc_ids;
      permissionFilter = {
        bool: {
          should: allowedMetaDocIds.map((id: string) => ({
            terms: {
              "AGREEMENT_ID.keyword": {
                index: "permitted_agreement_for_meta",
                id: id,
                path: "agreement_ids"
              }
            }
          }))
        }
      };
    } else if (index === "cms_documents") {
      // For this index, permission index is "permitted_agreement_for_attachment" and keys are attachment_doc_ids
      const allowedAttachmentDocIds = allowedIdsObj.attachment_doc_ids;
      permissionFilter = {
        bool: {
          should: allowedAttachmentDocIds.map((id: string) => ({
            terms: {
              "AGREEMENT_ID.keyword": {
                index: "permitted_agreement_for_attachment",
                id: id,
                path: "agreement_ids"
              }
            }
          }))
        }
      };
    } else if (index === "cdc_line_items") {
      const sectionDocIds = allowedIdsObj.line_item_section_doc_ids; // Array of doc IDs
      permissionFilter = {
        bool: {
          should: sectionDocIds.map((docId: string)=> ({
            bool: {
              must: [
                {
                  terms: {
                    "AGREEMENT_ID.keyword": {
                      index: "permitted_line_item_section",
                      id: docId,
                      path: "sections.agreement_id"
                    }
                  }
                },
                {
                  terms: {
                    "AGREEMENT_SECTION_ID.keyword": {
                      index: "permitted_line_item_section",
                      id: docId,
                      path: "sections.section_id"
                    }
                  }
                }
              ]
            }
          }))
        }
      };
    } else if (index === "cdc_field_data_agreements") {
      // For each doc_id in header_section_doc_ids, create a must of terms
      const sectionDocIds = allowedIdsObj.header_section_doc_ids; // array of doc IDs
      permissionFilter = {
        bool: {
          should: sectionDocIds.map((docId: string) => ({
            bool: {
              must: [
                {
                  terms: {
                    "AGREEMENT_ID.keyword": {
                      index: "permitted_header_section",
                      id: docId,
                      path: "sections.agreement_id"
                    }
                  }
                },
                {
                  terms: {
                    "SECTION_ID.keyword": {
                      index: "permitted_header_section",
                      id: docId,
                      path: "sections.section_id"
                    }
                  }
                }
              ]
            }
          }))
        }
      };
    } else if (index === "cdc_clauses_data") {
      const clauseDocIds = allowedIdsObj.header_clause_doc_ids; 
      permissionFilter = {
        bool: {
          should: clauseDocIds.map((docId: string) => ({
            terms: {
              "AGREEMENT_ID.keyword": {
                index: "permitted_agreement_for_clause",
                id: docId,
                path: "agreement_ids"
              }
            }
          }))
        }
      };
    }else {
      // Default (old) logic for agreement permissions only
      permissionFilter = {
        terms: {
          "AGREEMENT_ID.keyword": allowedIds.length > 0 ? allowedIds : ["__none__"],
        },
      };
    }
    
    
      // If no query, make a bool with only your filter
      if (!queryBody.query) {
        queryBody.query = {
          bool: {
            must: [permissionFilter],
          }
        };
      }
      // If the query is already a bool, inject your filter
      else if (queryBody.query.bool) {
        if (!queryBody.query.bool.must) {
          queryBody.query.bool.must = [];
        }
        queryBody.query.bool.must.push(permissionFilter);
      }
      // If the query is any other type (e.g. term, match), wrap in bool
      else {
        // Store the original query
        const originalQuery = queryBody.query;
        queryBody.query = {
          bool: {
            must: [originalQuery, permissionFilter]
          }
        };
      }
    
        console.error("[DEBUG] Final queryBody to send to ES:", JSON.stringify(queryBody, null, 2));
    
        // Get mappings to identify text fields for highlighting
        const mappingResponse = await esClient.indices.getMapping({
          index,
        });
    
        const indexMappings = mappingResponse[index]?.mappings || {};
    
        const searchRequest = {
          index:index,
          body:queryBody,
        };
    
    
        //queryBody.index = index;
    
        // Always do highlighting
        if (indexMappings.properties) {
          const textFields: Record<string, estypes.SearchHighlightField> = {};
    
          for (const [fieldName, fieldData] of Object.entries(
            indexMappings.properties
          )) {
            if (fieldData.type === "text" || "dense_vector" in fieldData) {
              textFields[fieldName] = {};
            }
          }
    
          searchRequest.body.highlight = {
            fields: textFields,
            pre_tags: ["<em>"],
            post_tags: ["</em>"],
          };
        }
    
        // DEBUG: print the final searchRequest object
       console.error("[DEBUG] ES SearchRequest:", JSON.stringify(searchRequest, null, 2));
    
       
       const result = await esClient.search(searchRequest);
    
        // DEBUG: print raw ES response
      //  console.error("[DEBUG] ES Search Response:", JSON.stringify(result, null, 2));
    
      //   return {
      //     content: [
      //       {
      //         type: "text",
      //         text: "[DEBUG] This is the final query that would be sent to ES:\n" + JSON.stringify(result, null, 2)
      //       }
      //     ]
      //   };
        
    
        
        // Extract the 'from' parameter from queryBody, defaulting to 0 if not provided
        const from = queryBody.from || 0;
    
        // ----- AGGREGATION UNIVERSAL HANDLER -----
        function formatAggs(
          aggsObj: Record<string, unknown>,
          prefix = ""
        ): string[] {
          const lines: string[] = [];
          for (const [aggName, aggData] of Object.entries(aggsObj)) {
            if (aggData && typeof aggData === "object" && aggData !== null) {
              // Buckets: must cast and check if 'buckets' is an array
              const maybeBuckets = (aggData as Record<string, unknown>)["buckets"];
              if (Array.isArray(maybeBuckets)) {
                lines.push(`${prefix}Aggregation "${aggName}" (buckets):`);
                if (maybeBuckets.length === 0) {
                  lines.push(`${prefix}  (no buckets)`);
                }
                for (const bucket of maybeBuckets) {
                  if (bucket && typeof bucket === "object" && bucket !== null) {
                    const key = (bucket as Record<string, unknown>)["key"];
                    const docCount = (bucket as Record<string, unknown>)["doc_count"];
                    lines.push(
                      `${prefix}  ${String(key)}: ${String(docCount)}`
                    );
                    // Recursively print nested aggs in buckets
                    for (const [k, v] of Object.entries(bucket)) {
                      if (
                        v &&
                        typeof v === "object" &&
                        v !== null &&
                        (Array.isArray((v as Record<string, unknown>)["buckets"]) ||
                          (v as Record<string, unknown>)["value"] !== undefined)
                      ) {
                        lines.push(
                          ...formatAggs({ [k]: v }, prefix + "    ")
                        );
                      }
                    }
                  }
                }
              } else if (
                // Single metric: e.g., { value: 123 }
                Object.prototype.hasOwnProperty.call(aggData, "value")
              ) {
                lines.push(
                  `${prefix}Aggregation "${aggName}": ${
                    (aggData as Record<string, unknown>)["value"]
                  }`
                );
              } else if (
                // Multi-metric: e.g., { count, min, max, avg, sum }
                Object.keys(aggData).some((k) =>
                  ["values", "avg", "sum", "min", "max", "count"].includes(k)
                )
              ) {
                lines.push(
                  `${prefix}Aggregation "${aggName}": ${JSON.stringify(
                    aggData
                  )}`
                );
              } else {
                // Recursively process other nested aggs (if any)
                for (const [k, v] of Object.entries(aggData)) {
                  if (
                    v &&
                    typeof v === "object" &&
                    v !== null &&
                    (Array.isArray((v as Record<string, unknown>)["buckets"]) ||
                      (v as Record<string, unknown>)["value"] !== undefined)
                  ) {
                    lines.push(...formatAggs({ [k]: v }, prefix + "  "));
                  }
                }
              }
            }
          }
          return lines;
        }
        
    
        let aggregationFragments: { type: "text"; text: string }[] = [];
        if (result.aggregations) {
          const aggLines = formatAggs(result.aggregations as Record<string, unknown>);
          if (aggLines.length > 0) {
            aggregationFragments.push({
              type: "text" as const,
              text: aggLines.join("\n"),
            });
          }
        }
        
        const contentFragments = result.hits.hits.map((hit) => {
          const highlightedFields = hit.highlight || {};
          const sourceData = hit._source || {};
        
          let content = "";
        
          for (const [field, highlights] of Object.entries(highlightedFields)) {
            if (highlights && highlights.length > 0) {
              content += `${field} (highlighted): ${highlights.join(
                " ... "
              )}\n`;
            }
          }
        
          for (const [field, value] of Object.entries(sourceData)) {
            if (!(field in highlightedFields)) {
              content += `${field}: ${JSON.stringify(value)}\n`;
            }
          }
        
          return {
            type: "text" as const,
            text: content.trim(),
          };
        });
        
        const metadataFragment = {
          type: "text" as const,
          text: `Total results: ${
            typeof result.hits.total === "number"
              ? result.hits.total
              : result.hits.total?.value || 0
            }, showing ${result.hits.hits.length} from position ${from}`,
        };
        
        return {
          content: [...aggregationFragments, metadataFragment, ...contentFragments],
        };
        
    
      } catch (error) {
        console.error(
          `Search failed: ${
            error instanceof Error ? error.message : String(error)
          }`
        );
        return {
          content: [
            {
              type: "text" as const,
              text: `Error: ${
                error instanceof Error ? error.message : String(error)
              }`,
            },
          ],
        };
      }
    }
  • Input schema validation for the 'search' tool using Zod: requires 'index' (Elasticsearch index name), 'queryBody' (valid Elasticsearch query DSL object), and 'userId' (for permission filtering).
      index: z
        .string()
        .trim()
        .min(1, "Index name is required")
        .describe("Name of the Elasticsearch index to search"),
    
      queryBody: z
        .record(z.any())
        .refine(
          (val) => {
            try {
              JSON.parse(JSON.stringify(val));
              return true;
            } catch (e) {
              return false;
            }
          },
          {
            message: "queryBody must be a valid Elasticsearch query DSL object",
          }
        )
        .describe(
          "Complete Elasticsearch query DSL object that can include query, size, from, sort, etc."
        ),
    
      userId: z.string().min(1).describe("User ID for permission filtering"),
    },
    async ({ index, queryBody, userId }) => {
  • index.ts:231-638 (registration)
    Registration of the 'search' tool on the MCP server using server.tool(), with description 'Perform an Elasticsearch search with the provided query DSL. Highlights are always enabled.', input schema, and handler function.
    server.tool(
      "search",
      "Perform an Elasticsearch search with the provided query DSL. Highlights are always enabled.",
      {
        index: z
          .string()
          .trim()
          .min(1, "Index name is required")
          .describe("Name of the Elasticsearch index to search"),
    
        queryBody: z
          .record(z.any())
          .refine(
            (val) => {
              try {
                JSON.parse(JSON.stringify(val));
                return true;
              } catch (e) {
                return false;
              }
            },
            {
              message: "queryBody must be a valid Elasticsearch query DSL object",
            }
          )
          .describe(
            "Complete Elasticsearch query DSL object that can include query, size, from, sort, etc."
          ),
    
        userId: z.string().min(1).describe("User ID for permission filtering"),
      },
      async ({ index, queryBody, userId }) => {
        console.error("[DEBUG] search tool called", index, userId, queryBody);
        try {
    
          const redisKey = `GLOBAL_SEARCH_INDEX_ID_MAPPING:${userId}`;
          const raw= await redis.get(redisKey);
    
          console.error("[DEBUG] Redis key fetched:", redisKey, "->", raw);
    
          const allowedIdsObj = JSON.parse(raw || "{}");
          
    
          const allowedIds = [
            ...allowedIdsObj.header_section_doc_ids,
            ...allowedIdsObj.line_item_section_doc_ids,
            ...allowedIdsObj.header_clause_doc_ids,
            ...allowedIdsObj.line_item_clause_doc_ids,
            ...allowedIdsObj.attachment_doc_ids,
            ...allowedIdsObj.meta_doc_ids,
            
          ];
    
    
    
      let permissionFilter;
    
      if (index === "cdc_agreement_list") {
        // For this index, permission index is "permitted_agreement_for_meta" and keys are meta_doc_ids
        const allowedMetaDocIds = allowedIdsObj.meta_doc_ids;
        permissionFilter = {
          bool: {
            should: allowedMetaDocIds.map((id: string) => ({
              terms: {
                "AGREEMENT_ID.keyword": {
                  index: "permitted_agreement_for_meta",
                  id: id,
                  path: "agreement_ids"
                }
              }
            }))
          }
        };
      } else if (index === "cms_documents") {
        // For this index, permission index is "permitted_agreement_for_attachment" and keys are attachment_doc_ids
        const allowedAttachmentDocIds = allowedIdsObj.attachment_doc_ids;
        permissionFilter = {
          bool: {
            should: allowedAttachmentDocIds.map((id: string) => ({
              terms: {
                "AGREEMENT_ID.keyword": {
                  index: "permitted_agreement_for_attachment",
                  id: id,
                  path: "agreement_ids"
                }
              }
            }))
          }
        };
      } else if (index === "cdc_line_items") {
        const sectionDocIds = allowedIdsObj.line_item_section_doc_ids; // Array of doc IDs
        permissionFilter = {
          bool: {
            should: sectionDocIds.map((docId: string)=> ({
              bool: {
                must: [
                  {
                    terms: {
                      "AGREEMENT_ID.keyword": {
                        index: "permitted_line_item_section",
                        id: docId,
                        path: "sections.agreement_id"
                      }
                    }
                  },
                  {
                    terms: {
                      "AGREEMENT_SECTION_ID.keyword": {
                        index: "permitted_line_item_section",
                        id: docId,
                        path: "sections.section_id"
                      }
                    }
                  }
                ]
              }
            }))
          }
        };
      } else if (index === "cdc_field_data_agreements") {
        // For each doc_id in header_section_doc_ids, create a must of terms
        const sectionDocIds = allowedIdsObj.header_section_doc_ids; // array of doc IDs
        permissionFilter = {
          bool: {
            should: sectionDocIds.map((docId: string) => ({
              bool: {
                must: [
                  {
                    terms: {
                      "AGREEMENT_ID.keyword": {
                        index: "permitted_header_section",
                        id: docId,
                        path: "sections.agreement_id"
                      }
                    }
                  },
                  {
                    terms: {
                      "SECTION_ID.keyword": {
                        index: "permitted_header_section",
                        id: docId,
                        path: "sections.section_id"
                      }
                    }
                  }
                ]
              }
            }))
          }
        };
      } else if (index === "cdc_clauses_data") {
        const clauseDocIds = allowedIdsObj.header_clause_doc_ids; 
        permissionFilter = {
          bool: {
            should: clauseDocIds.map((docId: string) => ({
              terms: {
                "AGREEMENT_ID.keyword": {
                  index: "permitted_agreement_for_clause",
                  id: docId,
                  path: "agreement_ids"
                }
              }
            }))
          }
        };
      }else {
        // Default (old) logic for agreement permissions only
        permissionFilter = {
          terms: {
            "AGREEMENT_ID.keyword": allowedIds.length > 0 ? allowedIds : ["__none__"],
          },
        };
      }
    
    
        // If no query, make a bool with only your filter
        if (!queryBody.query) {
          queryBody.query = {
            bool: {
              must: [permissionFilter],
            }
          };
        }
        // If the query is already a bool, inject your filter
        else if (queryBody.query.bool) {
          if (!queryBody.query.bool.must) {
            queryBody.query.bool.must = [];
          }
          queryBody.query.bool.must.push(permissionFilter);
        }
        // If the query is any other type (e.g. term, match), wrap in bool
        else {
          // Store the original query
          const originalQuery = queryBody.query;
          queryBody.query = {
            bool: {
              must: [originalQuery, permissionFilter]
            }
          };
        }
    
          console.error("[DEBUG] Final queryBody to send to ES:", JSON.stringify(queryBody, null, 2));
    
          // Get mappings to identify text fields for highlighting
          const mappingResponse = await esClient.indices.getMapping({
            index,
          });
    
          const indexMappings = mappingResponse[index]?.mappings || {};
    
          const searchRequest = {
            index:index,
            body:queryBody,
          };
    
    
          //queryBody.index = index;
    
          // Always do highlighting
          if (indexMappings.properties) {
            const textFields: Record<string, estypes.SearchHighlightField> = {};
    
            for (const [fieldName, fieldData] of Object.entries(
              indexMappings.properties
            )) {
              if (fieldData.type === "text" || "dense_vector" in fieldData) {
                textFields[fieldName] = {};
              }
            }
    
            searchRequest.body.highlight = {
              fields: textFields,
              pre_tags: ["<em>"],
              post_tags: ["</em>"],
            };
          }
    
          // DEBUG: print the final searchRequest object
         console.error("[DEBUG] ES SearchRequest:", JSON.stringify(searchRequest, null, 2));
    
         
         const result = await esClient.search(searchRequest);
    
          // DEBUG: print raw ES response
        //  console.error("[DEBUG] ES Search Response:", JSON.stringify(result, null, 2));
    
        //   return {
        //     content: [
        //       {
        //         type: "text",
        //         text: "[DEBUG] This is the final query that would be sent to ES:\n" + JSON.stringify(result, null, 2)
        //       }
        //     ]
        //   };
          
    
          
          // Extract the 'from' parameter from queryBody, defaulting to 0 if not provided
          const from = queryBody.from || 0;
    
          // ----- AGGREGATION UNIVERSAL HANDLER -----
          function formatAggs(
            aggsObj: Record<string, unknown>,
            prefix = ""
          ): string[] {
            const lines: string[] = [];
            for (const [aggName, aggData] of Object.entries(aggsObj)) {
              if (aggData && typeof aggData === "object" && aggData !== null) {
                // Buckets: must cast and check if 'buckets' is an array
                const maybeBuckets = (aggData as Record<string, unknown>)["buckets"];
                if (Array.isArray(maybeBuckets)) {
                  lines.push(`${prefix}Aggregation "${aggName}" (buckets):`);
                  if (maybeBuckets.length === 0) {
                    lines.push(`${prefix}  (no buckets)`);
                  }
                  for (const bucket of maybeBuckets) {
                    if (bucket && typeof bucket === "object" && bucket !== null) {
                      const key = (bucket as Record<string, unknown>)["key"];
                      const docCount = (bucket as Record<string, unknown>)["doc_count"];
                      lines.push(
                        `${prefix}  ${String(key)}: ${String(docCount)}`
                      );
                      // Recursively print nested aggs in buckets
                      for (const [k, v] of Object.entries(bucket)) {
                        if (
                          v &&
                          typeof v === "object" &&
                          v !== null &&
                          (Array.isArray((v as Record<string, unknown>)["buckets"]) ||
                            (v as Record<string, unknown>)["value"] !== undefined)
                        ) {
                          lines.push(
                            ...formatAggs({ [k]: v }, prefix + "    ")
                          );
                        }
                      }
                    }
                  }
                } else if (
                  // Single metric: e.g., { value: 123 }
                  Object.prototype.hasOwnProperty.call(aggData, "value")
                ) {
                  lines.push(
                    `${prefix}Aggregation "${aggName}": ${
                      (aggData as Record<string, unknown>)["value"]
                    }`
                  );
                } else if (
                  // Multi-metric: e.g., { count, min, max, avg, sum }
                  Object.keys(aggData).some((k) =>
                    ["values", "avg", "sum", "min", "max", "count"].includes(k)
                  )
                ) {
                  lines.push(
                    `${prefix}Aggregation "${aggName}": ${JSON.stringify(
                      aggData
                    )}`
                  );
                } else {
                  // Recursively process other nested aggs (if any)
                  for (const [k, v] of Object.entries(aggData)) {
                    if (
                      v &&
                      typeof v === "object" &&
                      v !== null &&
                      (Array.isArray((v as Record<string, unknown>)["buckets"]) ||
                        (v as Record<string, unknown>)["value"] !== undefined)
                    ) {
                      lines.push(...formatAggs({ [k]: v }, prefix + "  "));
                    }
                  }
                }
              }
            }
            return lines;
          }
          
    
          let aggregationFragments: { type: "text"; text: string }[] = [];
          if (result.aggregations) {
            const aggLines = formatAggs(result.aggregations as Record<string, unknown>);
            if (aggLines.length > 0) {
              aggregationFragments.push({
                type: "text" as const,
                text: aggLines.join("\n"),
              });
            }
          }
          
          const contentFragments = result.hits.hits.map((hit) => {
            const highlightedFields = hit.highlight || {};
            const sourceData = hit._source || {};
          
            let content = "";
          
            for (const [field, highlights] of Object.entries(highlightedFields)) {
              if (highlights && highlights.length > 0) {
                content += `${field} (highlighted): ${highlights.join(
                  " ... "
                )}\n`;
              }
            }
          
            for (const [field, value] of Object.entries(sourceData)) {
              if (!(field in highlightedFields)) {
                content += `${field}: ${JSON.stringify(value)}\n`;
              }
            }
          
            return {
              type: "text" as const,
              text: content.trim(),
            };
          });
          
          const metadataFragment = {
            type: "text" as const,
            text: `Total results: ${
              typeof result.hits.total === "number"
                ? result.hits.total
                : result.hits.total?.value || 0
              }, showing ${result.hits.hits.length} from position ${from}`,
          };
          
          return {
            content: [...aggregationFragments, metadataFragment, ...contentFragments],
          };
          
    
        } catch (error) {
          console.error(
            `Search failed: ${
              error instanceof Error ? error.message : String(error)
            }`
          );
          return {
            content: [
              {
                type: "text" as const,
                text: `Error: ${
                  error instanceof Error ? error.message : String(error)
                }`,
              },
            ],
          };
        }
      }
    );
  • Helper module exporting a configured Redis client instance, used in the search handler to fetch user-specific permitted document IDs for permission filtering.
    import pkg from "ioredis";
    const Redis = (pkg as any).default || pkg;
    
    const {
      REDIS_URL,
      REDIS_HOST,
      REDIS_PORT,
      REDIS_PASSWORD
    } = process.env;
    
    const redis = REDIS_URL
      ? new Redis(REDIS_URL)
      : new Redis({
          host: REDIS_HOST || "localhost",
          port: REDIS_PORT ? Number(REDIS_PORT) : 6379,
          password: REDIS_PASSWORD || undefined,
        });
    
    export default redis;
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds one important behavioral trait ('highlights are always enabled') that wouldn't be evident from the schema alone. However, it lacks other critical behavioral information such as pagination behavior, error handling, authentication requirements, rate limits, or what the response format looks like.

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 extremely concise with just two sentences that both earn their place. The first sentence states the core purpose, and the second adds important behavioral context about highlights. There's no wasted language or redundant information.

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?

For a tool with 4 parameters, complex nested objects in queryBody, no output schema, and no annotations, the description is insufficiently complete. It doesn't explain what the tool returns, how results are structured, error conditions, or provide any examples of proper usage. The mention of highlights is helpful but doesn't compensate for the significant gaps.

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

Parameters3/5

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

The schema description coverage is 100%, so the schema already documents all 4 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema. It doesn't explain parameter interactions, provide examples of queryBody structure, or clarify the relationship between parameters like profile and explain.

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 verb ('perform') and resource ('Elasticsearch search') with the specific technology mentioned. It distinguishes from siblings like get_mappings or list_indices by focusing on search operations rather than metadata retrieval. However, it doesn't explicitly differentiate from potential search-related siblings that might exist in other contexts.

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?

The description provides no guidance on when to use this tool versus alternatives. While it mentions 'highlights are always enabled,' this is a behavioral trait rather than usage guidance. There's no mention of prerequisites, when to choose this over other search methods, or what scenarios it's best suited for.

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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