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LLM Pricing

get_ide_pricing

Get subscription pricing for AI coding IDE tools: GitHub Copilot, Cursor, Windsurf, Claude.ai, JetBrains AI, Amazon Q Developer, and Tabnine. Returns monthly subscription cost, inline completion support, context window, and per-tool strengths. Use this when the user asks to compare IDE AI tools, subscription-based coding assistants, or wants to know which IDE AI fits their budget.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
providerNoFilter by provider name (partial match, case-insensitive). Examples: 'GitHub Copilot', 'Cursor', 'Windsurf', 'JetBrains', 'Amazon Q', 'Tabnine'
inline_onlyNoIf true, only return tools that support real-time inline code completion
max_monthlyNoOnly return plans at or below this monthly USD price (e.g. 20 for $20/mo)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the return payload (monthly cost, inline completion support, context window, strengths), which is genuinely useful given there is no output schema, and 'Get' implies a safe read. It does not, however, explicitly state read-only behavior, data freshness/caching, or any auth requirements.

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?

Two sentences, front-loaded with scope and coverage, then the usage trigger. The provider enumeration is dense but earns its place by making the tool's coverage boundary explicit.

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

Completeness4/5

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

For a read-only, zero-required-parameter lookup with a fully documented schema, the description supplies the scope, coverage and return fields an agent needs; there is no output schema to compensate for. The only shortfall is the absence of sibling routing and explicit read-only/freshness disclosure.

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 provider, inline_only and max_monthly are already fully documented with examples and defaults. The description adds no filter semantics beyond the schema, so the baseline 3 applies.

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?

States a specific verb and resource ('Get subscription pricing for AI coding IDE tools') and enumerates the exact providers covered, which cleanly separates it from siblings like get_all_pricing and compare_costs. An agent can tell what this returns 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?

The description gives a clear when-to-use clause: comparing IDE AI tools, subscription-based coding assistants, or budget fit. However, it never names the alternative sibling tools (e.g. compare_costs, get_all_pricing, check_price_drift) or states when NOT to use it, so routing between the pricing siblings is left partly to inference.

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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