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timps_service_mesh_configurator

Generates production-grade service mesh configs (Istio/Linkerd/Consul) with mTLS, traffic policies, retries, circuit breakers, observability, multi-cluster, and a migration plan.

Instructions

Generate production-grade service-mesh config (Istio / Linkerd / Consul) — mTLS, traffic policies, retries, circuit-breakers, observability, multi-cluster, and a migration plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior3/5

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

No annotations are provided, so the description bears the full transparency burden. It does disclose the generated content areas (mTLS, traffic policies, retries, circuit-breakers, observability, multi-cluster, and migration plan), but it does not state whether the tool outputs YAML/Helm manifests, writes files, applies changes, or requires cluster access. This is a meaningful behavioral gap for a config-generation tool.

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 a single, dense sentence that begins with the primary verb and packs the technology scope and feature list without filler. Every clause adds information, and it is easy to scan.

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

Completeness3/5

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

The tool has only two simple parameters, but there is no output schema and no annotations. The description enumerates scope well but omits important context like the exact output format, how the migration plan is delivered, and whether the tool only generates configs or also applies them. It is minimally adequate but not fully complete.

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%, and both parameters ('request' and 'language') already have clear descriptions in the input schema. The tool description adds no additional parameter-specific meaning, but the schema carries the load, so the baseline of 3 is appropriate.

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 starts with a specific verb ('Generate') and identifies the resource: production-grade service-mesh configuration. It further scopes the tool by listing supported meshes (Istio / Linkerd / Consul) and included features (mTLS, traffic policies, retries, circuit-breakers, observability, multi-cluster, migration plan), clearly distinguishing it from sibling tools focused on Kubernetes navigation or migration.

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 gives no guidance on when to use this tool versus alternatives. Sibling tools like timps_kubernetes_navigator, timps_migration_pilot, and timps_terraform_plan_reviewer overlap in infrastructure contexts, but no exclusions or conditions are provided. The usage context is only implied by the tool's name and output scope.

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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