pressure_converterConvert a value between pressure units. Units: Pa (Pascal), kPa (Kilopascal), hPa (Hectopascal), bar (Bar), atm (Atmosphere), psi (Pound per sq inch), mmHg (Millimeter of mercury), inHg (Inch of mercury). Calculation runs on smart-tools.xyz.
| Name | Required | Description | Default |
|---|---|---|---|
| to | Yes | Target unit id | |
| from | Yes | Source unit id | |
| value | Yes | Amount to convert | |
| locale | No | Language for source_url (en, de, es, fr, it, nl, uk) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It only states the conversion action and that calculations run on smart-tools.xyz, without mentioning read-only nature, output format, error handling, or other behavioral traits. This is minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, with the first stating the purpose and the second listing units. Every sentence contributes meaning, no fluff, and it is well-structured for quick reading.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple converter with 100% schema coverage and no output schema, the description covers the essential information: what it does and the units. However, it omits details about output handling or potential edge cases, though the tool's simplicity reduces the need for more.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the baseline is 3. The description adds minimal extra meaning by providing full unit names (e.g., Pa = Pascal), which helps interpret the enum values, but it does not elaborate on value handling or locale usage beyond what the schema already specifies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Convert a value between pressure units,' a specific verb+resource pair that precisely defines the tool's function. It also lists all supported units, distinguishing it from sibling converters like temperature_converter or length_converter.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for pressure conversions but does not explicitly contrast with alternative tools or provide when-not-to-use guidance. No explicit exclusions or alternatives are mentioned, making the usage context clear but lacking explicit direction.
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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Most tools are clearly distinct, but there are notable overlaps. 'hash_generator' and 'file_hash' effectively do the same thing (SHA hashing of text), and several CSV/TSV converters (csv_to_json, csv_to_sql, table_to_csv, markdown_table) have similar input handling, though outputs differ. The sheer number of converters is clear, but these near-duplicates create some ambiguity.
Names follow a generally consistent pattern: lowercase with underscores, often ending in 'converter', 'calculator', or 'generator'. A few names like 'base64', 'lorem_ipsum', and 'transliteration' deviate from the suffix pattern, but the naming style is uniform and predictable overall.
With 73 tools, this server is far over the typical well-scoped range. While the broad utility-toolkit purpose might justify a larger set, 73 is unwieldy and pushes well into 'too many' territory, making it harder for an agent to select the right tool efficiently.
The server covers a remarkably wide range of common utilities: unit conversions, calculators, text transformations, development helpers (JSON, regex, JWT, subnet), and generators. Minor gaps exist (e.g., currency converter, time zone converter), but for a general-purpose toolkit, it is largely comprehensive.