Skip to main content
Glama

AgentDiet Zero-Bloat A2A Live Web Search & Tech News Grounding

search_clean_agent_web

Read-onlyIdempotent

Executes live Google News RSS + HackerNews Algolia search queries and returns clean, token-pruned results with zero ad bloat. WHEN TO USE: Call search_clean_agent_web when your task requires deterministic serp-extract analysis for query; use get_agent_wallet_status to check your remaining free trial quota or prepaid balance. WHEN NOT TO USE: Do not use for unrelated domains or binary media. PARAMETER INTERACTIONS: Pass the target query as a non-empty string; omit agent_id and tx_hash during your 5 free trial calls, or supply agent_id (agd_pass_...) / tx_hash for paid execution. Read-only and idempotent; results are cached for 1 hour (<5ms cache hit). $0.01 per call. Pricing: the first 5 calls per agent_id are free and failed calls are never charged. After 5 calls, the tool returns a payment-required quote (not a fatal error) with a $2 Stripe top-up link and Base/Solana USDC addresses; complete payment, then retry with your agd_pass_ key in agent_id or pass tx_hash. Example: search_clean_agent_web(query='example')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query for live news, technical articles, and web results.
tx_hashNoOptional on-chain Base Mainnet (0x...) or Solana SPL USDC transaction hash. Omit unless settling an individual call directly on-chain instead of using an agd_pass_ key in agent_id.
agent_idNoOptional agent identifier or prepaid agd_pass_ session key. Omit during your 5 free trial calls to use an ID automatically derived from your client IP, or pass your agd_pass_ key after topping up.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoStructured tool output payload.
statusYesExecution status ('ok' or 'payment_required').
roi_proofNoToken compression and cost-savings verification metrics.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already cover safety (readOnly, idempotent, non-destructive, open-world), yet the description adds substantial behavioral context beyond them: 1-hour caching with <5ms hits, a $0.01 per-call price, 5 free calls per agent_id, and critically that after quota exhaustion it returns a payment-required quote rather than a fatal error, plus the retry flow. This is exactly the kind of undisclosed-by-annotations detail that prevents agent failure loops.

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?

Front-loads purpose, then usage, then parameter interactions using clear labeled sections, so an agent can scan it quickly. It is slightly over-long with some redundancy (pricing stated as '$0.01 per call' and again in the 'Pricing:' clause) and payment mechanics that verge on marketing copy, but no sentence is wholly wasted.

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 an output schema present, return format needn't be restated, and the description covers the remaining gaps: cost, quota, caching, auth requirements, failure mode, and retry procedure. 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%, so the baseline is 3, but the description adds interaction semantics not present in the schema: omit agent_id and tx_hash during free trial calls, or supply agent_id (agd_pass_...) / tx_hash for paid execution. It clarifies the mutually-alternative relationship between the two optional auth params, which the schema only describes individually.

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 ('Executes live Google News RSS + HackerNews Algolia search queries'), names the output quality ('clean, token-pruned results'), and implicitly distinguishes itself from the sibling get_agent_wallet_status by scoping it to search 'serp-extract' analysis. An agent can tell what this does 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 Guidelines5/5

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

Contains explicit WHEN TO USE and WHEN NOT TO USE sections, names the alternative sibling for quota checks, and states the exclusion ('unrelated domains or binary media'). Routing is fully specified rather than inferred.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources