Skip to main content
Glama
xxxbrian
by xxxbrian

http_post

Send an HTTP POST request to a specified URL with support for headers, cookies, authentication, query parameters, and JSON or form payloads.

Instructions

Make an HTTP POST request to the specified URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to send the request to
authNoAuthentication credentials
bodyNoRequest body
formNoForm data as [[key, value], ...]
proxyNoProxy to use for the request
queryNoQuery parameters as [[key, value], ...]
cookiesNoCookies to include in the request
headersNoHeaders to include in the request
multipartNoMultipart data as [[key, value], ...]
basic_authNoBasic auth credentials as [username, password]
bearer_authNoBearer token for authentication
json_payloadNoJSON payload
max_redirectsNoMaximum number of redirects to follow
allow_redirectsNoWhether to follow redirects
force_store_response_contentNoForce storing response content regardless of size

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are present, so the description must carry the full burden of behavioral disclosure. It only states the action without mentioning response handling, error behavior, redirects, authentication requirements, or side effects. The extensive parameter list (auth, redirects, etc.) is entirely unaddressed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no fluff, achieving high conciseness. However, it is so minimal that it omits critical context, making it under-specified rather than appropriately concise. It is front-loaded but lacks substance.

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

Completeness2/5

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

With 15 parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain the purpose of the many body/form/multipart options, auth mechanisms, or how responses are stored (given sibling tools like get_stored_response). An agent would need to rely heavily on parameter names and descriptions.

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 all 15 parameters have descriptions. The tool description adds no extra meaning beyond the schema, which is acceptable given the high coverage. However, it does not clarify ambiguous parameters like 'auth' versus 'basic_auth' or 'bearer_auth', but the schema descriptions already exist.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Make an HTTP POST request' with a specific verb and resource (URL). However, it does not differentiate from sibling tools like http_put or http_patch beyond the method name, so it lacks explicit sibling distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like http_get or http_put. The description does not mention typical use cases, prerequisites, or exclusions, leaving the agent to infer the purpose.

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