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mcp-reunion

reunion_list_znieff

Search ZNIEFF zones in La Réunion by name with optional limit to retrieve ecological inventory data for biodiversity conservation.

Instructions

List Zones Naturelles d'Intérêt Écologique, Faunistique et Floristique (ZNIEFF) in La Réunion — official inventory of areas of high ecological value, used for biodiversity protection and as a reference in land-use decisions. Réunion has type-1 (small precise zones with rare species) and type-2 (large functional ecosystems). Returns MNHN ID, organization ID, zone name, generation. Source: MNHN / DEAL via data.regionreunion.com.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoFree-text search on zone name (e.g. "Piton", "Mafate", "Volcan")
limitNoMax zones to return (1-100, default 50)

Implementation Reference

  • The tool handler for 'reunion_list_znieff'. It accepts an optional 'query' string for free-text search and an optional 'limit' (1-100, default 50). Calls client.getRecords on the ZNIEFF dataset, builds an ODSQL where clause from the query using search(), and maps results to mnhn_id, org_id, name, and generation fields.
    server.tool(
      'reunion_list_znieff',
      'List Zones Naturelles d\'Intérêt Écologique, Faunistique et Floristique (ZNIEFF) in La Réunion — official inventory of areas of high ecological value, used for biodiversity protection and as a reference in land-use decisions. Réunion has type-1 (small precise zones with rare species) and type-2 (large functional ecosystems). Returns MNHN ID, organization ID, zone name, generation. Source: MNHN / DEAL via data.regionreunion.com.',
      {
        query: z.string().optional().describe('Free-text search on zone name (e.g. "Piton", "Mafate", "Volcan")'),
        limit: z.number().int().min(1).max(100).default(50).describe('Max zones to return (1-100, default 50)'),
      },
      async ({ query, limit }) => {
        try {
          const data = await client.getRecords<RecordObject>(DATASET_ZNIEFF, {
            where: buildWhere([query ? `search(${quote(query)})` : undefined]),
            limit,
          });
          return jsonResult({
            total_zones: data.total_count,
            zones: data.results.map((row) => ({
              mnhn_id: pickString(row, ['id_mnhn']),
              org_id: pickString(row, ['id_org']),
              name: pickString(row, ['nom']),
              generation: pickString(row, ['generation']),
            })),
          });
        } catch (error) {
          return errorResult(error instanceof Error ? error.message : 'Failed to list ZNIEFF zones');
        }
      }
  • Zod schema for the tool's input parameters: 'query' (optional string) for free-text search on zone name, and 'limit' (optional integer, 1-100, default 50) to control result count.
    {
      query: z.string().optional().describe('Free-text search on zone name (e.g. "Piton", "Mafate", "Volcan")'),
      limit: z.number().int().min(1).max(100).default(50).describe('Max zones to return (1-100, default 50)'),
    },
  • The function registerEnvironmentTools is exported and called from src/modules/index.ts (line 41) to register all environment tools including 'reunion_list_znieff' on the MCP server.
    export function registerEnvironmentTools(server: McpServer): void {
  • Constant DATASET_ZNIEFF defining the OpenDataSoft dataset ID used by the handler: 'zones-naturelles-d-interet-ecologique-faunistique-et-floristique-a-la-reunion'.
    const DATASET_ZNIEFF = 'zones-naturelles-d-interet-ecologique-faunistique-et-floristique-a-la-reunion';
  • The getRecords method on ReunionClient, used by the handler to fetch records from the OpenDataSoft API. Handles caching for referential datasets, builds the URL, and calls fetchJson with retries.
      async getRecords<T extends RecordObject = RecordObject>(
        datasetId: string,
        params: ODSQueryParams = {}
      ): Promise<ODSResponse<T>> {
        const url = this.buildUrl(`/catalog/datasets/${datasetId}/records`, params);
    
        if (REFERENTIAL_DATASETS.has(datasetId)) {
          const now = Date.now();
          const cached = this.recordsCache.get(url);
          if (cached && cached.expiresAt > now) {
            return cached.value as ODSResponse<T>;
          }
          const value = await this.fetchJson<ODSResponse<T>>(url);
          this.recordsCache.set(url, { value, expiresAt: now + REFERENTIAL_TTL_MS });
          return value;
        }
    
        return this.fetchJson<ODSResponse<T>>(url);
      }
    
      /**
       * Clear the in-memory caches. Intended for tests.
       */
      clearCaches(): void {
        this.metadataCache.clear();
        this.recordsCache.clear();
      }
    
      /**
       * Fetch aggregated data from a dataset
       */
      async getAggregates<T extends RecordObject = RecordObject>(
        datasetId: string,
        select: string,
        options: {
          where?: string;
          groupBy?: string;
          orderBy?: string;
          limit?: number;
        } = {}
      ): Promise<ODSResponse<T>> {
        const params: Record<string, string | number | undefined> = { select };
        if (options.where) params.where = options.where;
        if (options.groupBy) params.group_by = options.groupBy;
        if (options.orderBy) params.order_by = options.orderBy;
        if (options.limit !== undefined) params.limit = options.limit;
    
        const url = this.buildUrl(`/catalog/datasets/${datasetId}/aggregates`, params);
        return this.fetchJson<ODSResponse<T>>(url);
      }
    
      /**
       * Search across all datasets
       */
      async searchDatasets(query: string): Promise<CatalogResponse> {
        const url = this.buildUrl('/catalog/datasets', {
          where: `search(${quote(query)})`,
          limit: 20,
        });
        return this.fetchJson<CatalogResponse>(url);
      }
    
      /**
       * List datasets with an optional raw ODSQL where clause.
       */
      async listDatasets(
        options: { where?: string; limit?: number; offset?: number } = {}
      ): Promise<CatalogResponse> {
        const url = this.buildUrl('/catalog/datasets', {
          where: options.where,
          limit: options.limit ?? 20,
          offset: options.offset,
        });
        return this.fetchJson<CatalogResponse>(url);
      }
    
      /**
       * Fetch dataset metadata from the catalog
       */
      async getDatasetMetadata(datasetId: string): Promise<DatasetMetadata | undefined> {
        if (!this.metadataCache.has(datasetId)) {
          const promise = this.fetchJson<CatalogResponse>(
            this.buildUrl('/catalog/datasets', {
              where: `dataset_id = ${quote(datasetId)}`,
              limit: 1,
            })
          ).then((data) => data.results[0]);
    
          this.metadataCache.set(datasetId, promise);
        }
    
        return this.metadataCache.get(datasetId);
      }
    
      /**
       * Check whether a dataset currently exists in the public catalog
       */
      async datasetExists(datasetId: string): Promise<boolean> {
        return Boolean(await this.getDatasetMetadata(datasetId));
      }
    
      /**
       * Resolve the first matching field name for a dataset
       */
      async resolveField(
        datasetId: string,
        candidates: string[]
      ): Promise<string | undefined> {
        const metadata = await this.getDatasetMetadata(datasetId);
        const fields = metadata?.fields ?? [];
    
        if (fields.length === 0) {
          return candidates[0];
        }
    
        const byNormalizedName = new Map(
          fields.map((field) => [normalizeText(field.name), field.name] as const)
        );
    
        for (const candidate of candidates) {
          const direct = byNormalizedName.get(normalizeText(candidate));
          if (direct) {
            return direct;
          }
        }
    
        const fieldNames = fields.map((field) => field.name);
        for (const candidate of candidates) {
          const normalizedCandidate = normalizeText(candidate);
          const partial = fieldNames.find((fieldName) =>
            normalizeText(fieldName).includes(normalizedCandidate)
          );
          if (partial) {
            return partial;
          }
        }
    
        return candidates[0];
      }
    
      /**
       * Build URL with query parameters
       */
      private buildUrl(
        path: string,
        params: Record<string, string | number | undefined>
      ): string {
        const normalizedPath = path.startsWith('/') ? path.slice(1) : path;
        const url = new URL(normalizedPath, this.baseUrl);
    
        for (const [key, value] of Object.entries(params)) {
          if (value !== undefined && value !== null && value !== '') {
            url.searchParams.set(key, String(value));
          }
        }
    
        return url.toString();
      }
    
      /**
       * Execute HTTP request with retries and timeout handling
       */
      private async fetchJson<T>(url: string, remainingRetries = this.maxRetries): Promise<T> {
        const controller = new AbortController();
        const timeoutId = setTimeout(() => controller.abort(), this.timeout);
    
        try {
          const response = await fetch(url, {
            method: 'GET',
            headers: {
              Accept: 'application/json',
              'User-Agent': 'mcp-reunion/1.0',
            },
            signal: controller.signal,
          });
    
          if (!response.ok) {
            const errorText = await response.text();
            if (response.status >= 500 && remainingRetries > 0) {
              await this.delay(250);
              return this.fetchJson<T>(url, remainingRetries - 1);
            }
            throw new Error(
              `API error ${response.status}: ${response.statusText}. ${errorText}`
            );
          }
    
          return (await response.json()) as T;
        } catch (error) {
          if (error instanceof Error) {
            if (error.name === 'AbortError') {
              throw new Error(`Request timeout after ${this.timeout}ms`);
            }
    
            if (remainingRetries > 0 && this.isRetryableError(error)) {
              await this.delay(250);
              return this.fetchJson<T>(url, remainingRetries - 1);
            }
    
            throw error;
          }
          throw new Error('Unknown error occurred');
        } finally {
          clearTimeout(timeoutId);
        }
      }
    
      private isRetryableError(error: Error): boolean {
        return /fetch failed|ECONNRESET|ETIMEDOUT|ENOTFOUND|EAI_AGAIN/i.test(error.message);
      }
    
      private async delay(ms: number): Promise<void> {
        await new Promise((resolve) => setTimeout(resolve, ms));
      }
    }
    
    // Singleton instance
    export const client = new ReunionClient();
Behavior3/5

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

No annotations exist, so the description carries the burden. It mentions the data source and types but does not disclose behavioral traits like rate limits, authentication, or side effects. As a read-only list, the description is adequate but lacks detail.

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

Conciseness4/5

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

The description is three sentences, front-loaded with the main purpose, and contains no redundant words. It is concise and well-structured, though slightly more detail on return values could be integrated.

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

Completeness5/5

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

Given no output schema, the description compensates by listing returned fields (MNHN ID, organization ID, zone name, generation) and explains the two zone types, making it complete for a list tool.

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?

Input schema has 100% description coverage for both parameters (query, limit). The description adds no new parameter information beyond the schema, so it meets the baseline without additional value.

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

Purpose5/5

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

The description clearly states the tool lists ZNIEFF (Zones Naturelles d'Intérêt Écologique) in La Réunion, specifies verb 'list' and resource, and distinguishes from sibling tools by detailing a unique data source and zone types.

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

Usage Guidelines4/5

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

The description explains the tool's use for biodiversity protection and land-use decisions. It provides context but does not explicitly mention when to avoid using it or list alternative tools; however, sibling tools are unrelated, so guidance is sufficient.

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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