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Cisco MCP Pods Server

by ruegreen

update_pod

Modify pod configurations including status, credentials, and test information in Cisco API Gateway pod collections to maintain current operational settings.

Instructions

Update an existing pod in a collection. Can update status, credentials, test information, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collectionYesCollection name
numberYesPod number to update
updatesYesFields to update

Implementation Reference

  • Defines the input schema and metadata for the 'update_pod' tool, specifying required parameters: collection, number, and updates object.
    {
      name: 'update_pod',
      description: 'Update an existing pod in a collection. Can update status, credentials, test information, etc.',
      inputSchema: {
        type: 'object',
        properties: {
          collection: {
            type: 'string',
            description: 'Collection name',
          },
          number: {
            type: 'number',
            description: 'Pod number to update',
          },
          updates: {
            type: 'object',
            description: 'Fields to update',
            properties: {
              Status: { type: 'string' },
              "Test Date": { type: 'string' },
              "Test Status": { type: 'string' },
              Password: { type: 'string' },
              CRMPassword: { type: 'string' },
            },
          },
        },
        required: ['collection', 'number', 'updates'],
      },
    },
  • The MCP tool handler for 'update_pod' that extracts arguments and delegates to podsClient.updatePod, then formats the response as MCP content.
    case 'update_pod': {
      const result = await podsClient.updatePod(args.collection, args.number, args.updates);
      return {
        content: [
          {
            type: 'text',
            text: JSON.stringify(result, null, 2),
          },
        ],
      };
    }
  • Core implementation of pod update: constructs API URL and sends PATCH request with updates payload using the configured auth headers.
    async updatePod(collection, number, updates) {
      const url = `${this.baseUrl}/api/v2/pods/${collection}/${number}`;
      return this.makeRequest(url, {
        method: 'PATCH',
        body: JSON.stringify(updates),
      });
    }
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'Update' implies a mutation operation, the description lacks details on permissions required, whether updates are reversible, rate limits, error handling, or what happens to unspecified fields. It mentions updating 'credentials' which could imply security implications, but doesn't elaborate on authentication needs or data sensitivity.

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 a single, efficient sentence that front-loads the core action ('Update an existing pod in a collection') and adds brief examples of updatable fields. There's no unnecessary verbiage, and it effectively communicates the tool's scope without redundancy. However, it could be slightly more structured by explicitly separating purpose from usage examples.

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 the tool's complexity (mutation operation with 3 parameters including a nested object), lack of annotations, and no output schema, the description is insufficient. It doesn't address behavioral aspects like side effects, error conditions, or return values, leaving significant gaps for an AI agent to understand how to invoke it correctly and interpret results.

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?

Schema description coverage is 100%, so the schema already documents all parameters ('collection', 'number', 'updates') and nested properties. The description adds minimal value beyond the schema by listing example fields ('status, credentials, test information') that map to the 'updates' object, but doesn't provide additional syntax, format, or constraint details. This meets the baseline for high schema 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 verb ('Update') and resource ('an existing pod in a collection'), making the purpose evident. It distinguishes from 'create_pod' by specifying 'existing' and from 'delete_pod' by focusing on updates rather than removal. However, it doesn't explicitly differentiate from 'update_pod_keyword', which might handle different aspects of pod updates.

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 like 'update_pod_keyword' or other sibling tools. It mentions updating 'status, credentials, test information, etc.', but doesn't specify prerequisites, exclusions, or contextual triggers for choosing this tool over others in the server.

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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