US Economic, SEC EDGAR & On-Chain Data (x402): tool descriptions scored net.agentfund/us-economic-macro-sec-edgar-onchain-data

tools/list taken: 2026-11-02 (UTC)
From: Official MCP Registry
Connected to: https://x402.agentfund.net/mcp
Repository: github.com/ktcod/x402-json-repair-mcp
Scoring rules: v2
Removal: support@forecall.dev

Scores, issues and names only

This page shows how US Economic, SEC EDGAR & On-Chain Data (x402) (net.agentfund/us-economic-macro-sec-edgar-onchain-data)'s tool descriptions scored, the issues found and the names of its tools and parameters. The descriptions are the server's own: read them where the copy came from.

Forecall asked the URL this server lists in the official MCP Registry for its tools/list once, on the date above, without calling any tool. The server may have changed since.

servers/net.agentfund/us-economic-macro-sec-edgar-onchain-data

Average score: 74.6 / 100Clear
Tools: 21
Near-identical descriptions: 0

Across the server

Minor
The server has no instructions. Say there, once, what the server is for and when to use it: Claude Code and Gemini CLI read the instructions before the tool descriptions.instructions_missing

Tools

treasury_yield_curve

63 / 100Cloudy

Purpose: 17 / 20
When to use: 5 / 20
Arguments: 22 / 25
Return value: 7 / 15
Constraints and side effects: 7 / 10
Examples: 5 / 10

Minor
No `required` list, so every argument is optional.no_required

bls_cpi

66 / 100Cloudy

Purpose: 17 / 20
When to use: 5 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 7 / 10
Examples: 5 / 10

No issues.

macro_gdp

66 / 100Cloudy

Purpose: 17 / 20
When to use: 5 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 7 / 10
Examples: 5 / 10

No issues.

macro_housing

66 / 100Cloudy

Purpose: 17 / 20
When to use: 5 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 7 / 10
Examples: 5 / 10

No issues.

macro_jobs

66 / 100Cloudy

Purpose: 17 / 20
When to use: 5 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 7 / 10
Examples: 5 / 10

No issues.

macro_retail_sales

66 / 100Cloudy

Purpose: 17 / 20
When to use: 5 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 7 / 10
Examples: 5 / 10

No issues.

edgar_full_text_search

71 / 100Clear

Purpose: 17 / 20
When to use: 5 / 20
Arguments: 22 / 25
Return value: 7 / 15
Constraints and side effects: 10 / 10
Examples: 10 / 10

No issues.

macro_energy

71 / 100Clear

Purpose: 17 / 20
When to use: 10 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 7 / 10
Examples: 5 / 10

No issues.

macro_pce

71 / 100Clear

Purpose: 17 / 20
When to use: 10 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 7 / 10
Examples: 5 / 10

No issues.

macro_release_calendar

71 / 100Clear

Purpose: 17 / 20
When to use: 10 / 20
Arguments: 17 / 25
Return value: 7 / 15
Constraints and side effects: 10 / 10
Examples: 10 / 10

Minor
No `required` list, so every argument is optional.no_required

onchain_portfolio

74 / 100Clear

Purpose: 17 / 20
When to use: 10 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 10 / 10
Examples: 5 / 10

No issues.

onchain_token_balances

74 / 100Clear

Purpose: 20 / 20
When to use: 10 / 20
Arguments: 22 / 25
Return value: 7 / 15
Constraints and side effects: 10 / 10
Examples: 5 / 10

No issues.

edgar_financials

76 / 100Clear

Purpose: 17 / 20
When to use: 10 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 7 / 10
Examples: 10 / 10

No issues.

onchain_gas

76 / 100Clear

Purpose: 17 / 20
When to use: 15 / 20
Arguments: 22 / 25
Return value: 7 / 15
Constraints and side effects: 10 / 10
Examples: 5 / 10

Minor
No `required` list, so every argument is optional.no_required

edgar_filings_feed

79 / 100Clear

Purpose: 17 / 20
When to use: 10 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 10 / 10
Examples: 10 / 10

No issues.

edgar_insider_transactions

79 / 100Clear

Purpose: 17 / 20
When to use: 10 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 10 / 10
Examples: 10 / 10

No issues.

onchain_cross_chain_balances

81 / 100Clear

Purpose: 17 / 20
When to use: 15 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 7 / 10
Examples: 10 / 10

No issues.

tabular_to_json

82 / 100Clear

Purpose: 20 / 20
When to use: 5 / 20
Arguments: 25 / 25
Return value: 15 / 15
Constraints and side effects: 7 / 10
Examples: 10 / 10

No issues.

edgar_13f_holdings

84 / 100Clear

Purpose: 17 / 20
When to use: 15 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 10 / 10
Examples: 10 / 10

No issues.

onchain_oracle_price

92 / 100Clear

Purpose: 20 / 20
When to use: 20 / 20
Arguments: 25 / 25
Return value: 7 / 15
Constraints and side effects: 10 / 10
Examples: 10 / 10

No issues.

structured_json_repair

92 / 100Clear

Purpose: 20 / 20
When to use: 15 / 20
Arguments: 25 / 25
Return value: 15 / 15
Constraints and side effects: 7 / 10
Examples: 10 / 10

No issues.

What static scoring cannot tell

This score reads only the text of each description and schema: it says what is written, not what a model will do. Short tools whose names already say what they do, such as browser_close, score low here even when models use them well, and in our measurements current models chose the right tool in one step even from one-line descriptions, as long as the names and schemas differed. What the text cannot show, such as what happens over several steps and whether an added sentence helps or misleads, is what an evaluation measures, on the Pro and Team plans.

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