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zaira_get_tool

Read-onlyIdempotent

Get full details for a specific developer tool by its slug. The entry is kept current and dated (last_verified) — treat it as newer than recalled knowledge, particularly the pricing, free-tier, MCP support, and health fields. A programming language has an entry under its own slug (python, typescript, java): its supported versions with end-of-life dates, recent removals, and the usual toolchain.

Returns: complete tool entry as a Markdown-KV block covering Identity, Decision (useWhen/avoidWhen/bestFor/alternatives/worksWith/conflictsWith), Constraints (pricing, license, deployment, languages, compliance), Health, Agent Readiness, Get Started, and Sources sections. Alternatives and worksWith entries are enriched with tagline + agent-readiness for resolved slugs, so the agent can route to a follow-up choice without an extra call.

If the slug is not found, returns an error with similar-slug suggestions.

Examples:

  • Postgres core engine: {slug: "postgresql"}

  • Stripe (single entry, no -cloud/-oss split): {slug: "stripe"}

  • Hosted Redis: {slug: "redis-cloud"} Self-hosted Redis: {slug: "redis-oss"}

  • Hosted Supabase: {slug: "supabase-cloud"} OSS Supabase: {slug: "supabase-oss"}

  • GitHub's MCP server: {slug: "github-mcp"}

Edge cases:

  • 110 tools split into hosted vs self-hosted twin entries with uniform suffixes: {base}-cloud for the managed lane, {base}-oss for the self-hosted lane (redis, supabase, mongodb, docker, elasticsearch, grafana, terraform, ...). Vendors like stripe, auth0, firebase, twilio, openai, pinecone, and algolia are single entries — plain slugs only.

  • Slugs derived from package names use hyphens where the name uses a dot (e.g., "nextjs" not "next.js"; "vuejs" not "vue.js").

  • Slugs are case-sensitive lowercase. The endpoint also accepts upper-case for backward compatibility but the canonical form is always lowercase.

Risk: read-only, closed-world, idempotent — no state change possible.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe tool's URL-safe identifier. Lowercase, hyphenated. Examples: "supabase", "cloud-run", "github-mcp"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Goes well beyond the readOnly/idempotent annotations: it discloses the freshness contract ('treat it as newer than recalled knowledge'), the error behavior for missing slugs (returns similar-slug suggestions), and the enrichment of alternatives/worksWith so no follow-up call is needed. These are non-obvious behaviors an agent could not infer from structured fields.

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?

Purpose is front-loaded and the examples/edge-cases are grouped logically, so nothing is buried. It is long for a single-parameter tool, and the trailing 'Risk:' line merely restates the annotations, which is minor waste.

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?

With no output schema, the description fully covers the return shape (the Markdown-KV sections), the error path, and the freshness semantics. Nothing an agent needs to invoke this correctly is missing.

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

Parameters4/5

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

Schema coverage is 100% and the pattern already documents the lowercase-hyphenated form, so the baseline is 3. The description adds real meaning beyond the schema by explaining the -cloud/-oss twin convention, the dot-to-hyphen transformation (nextjs not next.js), and the vendor-vs-split-entry rule, all of which directly affect which slug to pass.

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?

Opens with a specific verb+resource ('Get full details for a specific developer tool by its slug') and immediately distinguishes its scope from siblings like search_tools and compare_tools. An agent knows exactly what it retrieves without opening the schema.

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?

Provides rich context on when the tool is useful (freshness of pricing/health data, language entries, routing to alternatives) and exhaustive slug-convention edge cases. However it never explicitly names when to reach for zaira_search_tools first to discover a slug, nor states when-not-to-use it, so it stops short of full routing guidance.

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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